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this.mark=(t,n)=>(e.mark(t,n),this),this.markRegExp=(t,n)=>(e.markRegExp(t,n),this),this.markRanges=(t,n)=>(e.markRanges(t,n),this),this.unmark=t=>(e.unmark(t),this),this}function ke(a,e,t,n){function s(r){return r instanceof t?r:new t(function(i){i(r)})}return new(t||(t=Promise))(function(r,i){function o(f){try{c(n.next(f))}catch(g){i(g)}}function l(f){try{c(n.throw(f))}catch(g){i(g)}}function c(f){f.done?r(f.value):s(f.value).then(o,l)}c((n=n.apply(a,[])).next())})}const Vn="ENTRIES",_t="KEYS",St="VALUES",D="";class De{constructor(e,t){const n=e._tree,s=Array.from(n.keys());this.set=e,this._type=t,this._path=s.length>0?[{node:n,keys:s}]:[]}next(){const e=this.dive();return this.backtrack(),e}dive(){if(this._path.length===0)return{done:!0,value:void 0};const{node:e,keys:t}=le(this._path);if(le(t)===D)return{done:!1,value:this.result()};const n=e.get(le(t));return this._path.push({node:n,keys:Array.from(n.keys())}),this.dive()}backtrack(){if(this._path.length===0)return;const e=le(this._path).keys;e.pop(),!(e.length>0)&&(this._path.pop(),this.backtrack())}key(){return this.set._prefix+this._path.map(({keys:e})=>le(e)).filter(e=>e!==D).join("")}value(){return le(this._path).node.get(D)}result(){switch(this._type){case St:return this.value();case _t:return this.key();default:return[this.key(),this.value()]}}[Symbol.iterator](){return this}}const le=a=>a[a.length-1],$n=(a,e,t)=>{const n=new Map;if(e===void 0)return n;const s=e.length+1,r=s+t,i=new Uint8Array(r*s).fill(t+1);for(let o=0;o{const l=r*i;e:for(const c of a.keys())if(c===D){const f=s[l-1];f<=t&&n.set(o,[a.get(c),f])}else{let f=r;for(let g=0;gt)continue e}Et(a.get(c),e,t,n,s,f,i,o+c)}};class X{constructor(e=new Map,t=""){this._size=void 0,this._tree=e,this._prefix=t}atPrefix(e){if(!e.startsWith(this._prefix))throw new Error("Mismatched prefix");const[t,n]=Re(this._tree,e.slice(this._prefix.length));if(t===void 0){const[s,r]=qe(n);for(const i of s.keys())if(i!==D&&i.startsWith(r)){const o=new 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s===void 0&&n.set(D,s=t()),s}values(){return new De(this,St)}[Symbol.iterator](){return this.entries()}static from(e){const t=new X;for(const[n,s]of e)t.set(n,s);return t}static fromObject(e){return X.from(Object.entries(e))}}const Re=(a,e,t=[])=>{if(e.length===0||a==null)return[a,t];for(const n of a.keys())if(n!==D&&e.startsWith(n))return t.push([a,n]),Re(a.get(n),e.slice(n.length),t);return t.push([a,e]),Re(void 0,"",t)},Ke=(a,e)=>{if(e.length===0||a==null)return a;for(const t of a.keys())if(t!==D&&e.startsWith(t))return Ke(a.get(t),e.slice(t.length))},ze=(a,e)=>{const t=e.length;e:for(let n=0;a&&n{const[t,n]=Re(a,e);if(t!==void 0){if(t.delete(D),t.size===0)Tt(n);else if(t.size===1){const[s,r]=t.entries().next().value;It(n,s,r)}}},Tt=a=>{if(a.length===0)return;const[e,t]=qe(a);if(e.delete(t),e.size===0)Tt(a.slice(0,-1));else if(e.size===1){const[n,s]=e.entries().next().value;n!==D&&It(a.slice(0,-1),n,s)}},It=(a,e,t)=>{if(a.length===0)return;const[n,s]=qe(a);n.set(s+e,t),n.delete(s)},qe=a=>a[a.length-1],Ge="or",kt="and",Wn="and_not";class ue{constructor(e){if((e==null?void 0:e.fields)==null)throw new Error('MiniSearch: option "fields" must be provided');const t=e.autoVacuum==null||e.autoVacuum===!0?Ve:e.autoVacuum;this._options=Object.assign(Object.assign(Object.assign({},je),e),{autoVacuum:t,searchOptions:Object.assign(Object.assign({},ft),e.searchOptions||{}),autoSuggestOptions:Object.assign(Object.assign({},Gn),e.autoSuggestOptions||{})}),this._index=new X,this._documentCount=0,this._documentIds=new Map,this._idToShortId=new Map,this._fieldIds={},this._fieldLength=new Map,this._avgFieldLength=[],this._nextId=0,this._storedFields=new Map,this._dirtCount=0,this._currentVacuum=null,this._enqueuedVacuum=null,this._enqueuedVacuumConditions=Ue,this.addFields(this._options.fields)}add(e){const{extractField:t,tokenize:n,processTerm:s,fields:r,idField:i}=this._options,o=t(e,i);if(o==null)throw new Error(`MiniSearch: document does not have ID field "${i}"`);if(this._idToShortId.has(o))throw new Error(`MiniSearch: duplicate ID ${o}`);const l=this.addDocumentId(o);this.saveStoredFields(l,e);for(const c of r){const f=t(e,c);if(f==null)continue;const g=n(f.toString(),c),h=this._fieldIds[c],b=new Set(g).size;this.addFieldLength(l,h,this._documentCount-1,b);for(const y of g){const x=s(y,c);if(Array.isArray(x))for(const w of x)this.addTerm(h,l,w);else x&&this.addTerm(h,l,x)}}}addAll(e){for(const t of e)this.add(t)}addAllAsync(e,t={}){const{chunkSize:n=10}=t,s={chunk:[],promise:Promise.resolve()},{chunk:r,promise:i}=e.reduce(({chunk:o,promise:l},c,f)=>(o.push(c),(f+1)%n===0?{chunk:[],promise:l.then(()=>new Promise(g=>setTimeout(g,0))).then(()=>this.addAll(o))}:{chunk:o,promise:l}),s);return i.then(()=>this.addAll(r))}remove(e){const{tokenize:t,processTerm:n,extractField:s,fields:r,idField:i}=this._options,o=s(e,i);if(o==null)throw new Error(`MiniSearch: document does not have ID field "${i}"`);const l=this._idToShortId.get(o);if(l==null)throw new Error(`MiniSearch: cannot remove document with ID ${o}: it is not in the index`);for(const c of r){const f=s(e,c);if(f==null)continue;const g=t(f.toString(),c),h=this._fieldIds[c],b=new Set(g).size;this.removeFieldLength(l,h,this._documentCount,b);for(const y of g){const x=n(y,c);if(Array.isArray(x))for(const w of x)this.removeTerm(h,l,w);else x&&this.removeTerm(h,l,x)}}this._storedFields.delete(l),this._documentIds.delete(l),this._idToShortId.delete(o),this._fieldLength.delete(l),this._documentCount-=1}removeAll(e){if(e)for(const t of e)this.remove(t);else{if(arguments.length>0)throw new Error("Expected documents to be present. Omit the argument to remove all documents.");this._index=new X,this._documentCount=0,this._documentIds=new Map,this._idToShortId=new Map,this._fieldLength=new Map,this._avgFieldLength=[],this._storedFields=new Map,this._nextId=0}}discard(e){const t=this._idToShortId.get(e);if(t==null)throw new Error(`MiniSearch: cannot discard document with ID ${e}: it is not in the index`);this._idToShortId.delete(e),this._documentIds.delete(t),this._storedFields.delete(t),(this._fieldLength.get(t)||[]).forEach((n,s)=>{this.removeFieldLength(t,s,this._documentCount,n)}),this._fieldLength.delete(t),this._documentCount-=1,this._dirtCount+=1,this.maybeAutoVacuum()}maybeAutoVacuum(){if(this._options.autoVacuum===!1)return;const{minDirtFactor:e,minDirtCount:t,batchSize:n,batchWait:s}=this._options.autoVacuum;this.conditionalVacuum({batchSize:n,batchWait:s},{minDirtCount:t,minDirtFactor:e})}discardAll(e){const t=this._options.autoVacuum;try{this._options.autoVacuum=!1;for(const n of e)this.discard(n)}finally{this._options.autoVacuum=t}this.maybeAutoVacuum()}replace(e){const{idField:t,extractField:n}=this._options,s=n(e,t);this.discard(s),this.add(e)}vacuum(e={}){return this.conditionalVacuum(e)}conditionalVacuum(e,t){return this._currentVacuum?(this._enqueuedVacuumConditions=this._enqueuedVacuumConditions&&t,this._enqueuedVacuum!=null?this._enqueuedVacuum:(this._enqueuedVacuum=this._currentVacuum.then(()=>{const n=this._enqueuedVacuumConditions;return this._enqueuedVacuumConditions=Ue,this.performVacuuming(e,n)}),this._enqueuedVacuum)):this.vacuumConditionsMet(t)===!1?Promise.resolve():(this._currentVacuum=this.performVacuuming(e),this._currentVacuum)}performVacuuming(e,t){return ke(this,void 0,void 0,function*(){const n=this._dirtCount;if(this.vacuumConditionsMet(t)){const s=e.batchSize||Je.batchSize,r=e.batchWait||Je.batchWait;let i=1;for(const[o,l]of this._index){for(const[c,f]of l)for(const[g]of f)this._documentIds.has(g)||(f.size<=1?l.delete(c):f.delete(g));this._index.get(o).size===0&&this._index.delete(o),i%s===0&&(yield new Promise(c=>setTimeout(c,r))),i+=1}this._dirtCount-=n}yield null,this._currentVacuum=this._enqueuedVacuum,this._enqueuedVacuum=null})}vacuumConditionsMet(e){if(e==null)return!0;let{minDirtCount:t,minDirtFactor:n}=e;return t=t||Ve.minDirtCount,n=n||Ve.minDirtFactor,this.dirtCount>=t&&this.dirtFactor>=n}get isVacuuming(){return this._currentVacuum!=null}get dirtCount(){return this._dirtCount}get dirtFactor(){return this._dirtCount/(1+this._documentCount+this._dirtCount)}has(e){return this._idToShortId.has(e)}getStoredFields(e){const t=this._idToShortId.get(e);if(t!=null)return this._storedFields.get(t)}search(e,t={}){const{searchOptions:n}=this._options,s=Object.assign(Object.assign({},n),t),r=this.executeQuery(e,t),i=[];for(const[o,{score:l,terms:c,match:f}]of r){const g=c.length||1,h={id:this._documentIds.get(o),score:l*g,terms:Object.keys(f),queryTerms:c,match:f};Object.assign(h,this._storedFields.get(o)),(s.filter==null||s.filter(h))&&i.push(h)}return e===ue.wildcard&&s.boostDocument==null||i.sort(pt),i}autoSuggest(e,t={}){t=Object.assign(Object.assign({},this._options.autoSuggestOptions),t);const n=new Map;for(const{score:r,terms:i}of this.search(e,t)){const o=i.join(" "),l=n.get(o);l!=null?(l.score+=r,l.count+=1):n.set(o,{score:r,terms:i,count:1})}const s=[];for(const[r,{score:i,terms:o,count:l}]of n)s.push({suggestion:r,terms:o,score:i/l});return s.sort(pt),s}get documentCount(){return this._documentCount}get termCount(){return this._index.size}static loadJSON(e,t){if(t==null)throw new Error("MiniSearch: loadJSON should be given the same options used when serializing the index");return this.loadJS(JSON.parse(e),t)}static loadJSONAsync(e,t){return ke(this,void 0,void 0,function*(){if(t==null)throw new Error("MiniSearch: loadJSON should be given the same options used when serializing the index");return this.loadJSAsync(JSON.parse(e),t)})}static getDefault(e){if(je.hasOwnProperty(e))return Pe(je,e);throw new Error(`MiniSearch: unknown option "${e}"`)}static loadJS(e,t){const{index:n,documentIds:s,fieldLength:r,storedFields:i,serializationVersion:o}=e,l=this.instantiateMiniSearch(e,t);l._documentIds=Te(s),l._fieldLength=Te(r),l._storedFields=Te(i);for(const[c,f]of l._documentIds)l._idToShortId.set(f,c);for(const[c,f]of n){const g=new Map;for(const h of Object.keys(f)){let b=f[h];o===1&&(b=b.ds),g.set(parseInt(h,10),Te(b))}l._index.set(c,g)}return l}static loadJSAsync(e,t){return ke(this,void 0,void 0,function*(){const{index:n,documentIds:s,fieldLength:r,storedFields:i,serializationVersion:o}=e,l=this.instantiateMiniSearch(e,t);l._documentIds=yield Ie(s),l._fieldLength=yield Ie(r),l._storedFields=yield Ie(i);for(const[f,g]of l._documentIds)l._idToShortId.set(g,f);let c=0;for(const[f,g]of n){const h=new Map;for(const b of Object.keys(g)){let y=g[b];o===1&&(y=y.ds),h.set(parseInt(b,10),yield Ie(y))}++c%1e3===0&&(yield Nt(0)),l._index.set(f,h)}return l})}static instantiateMiniSearch(e,t){const{documentCount:n,nextId:s,fieldIds:r,averageFieldLength:i,dirtCount:o,serializationVersion:l}=e;if(l!==1&&l!==2)throw new Error("MiniSearch: cannot deserialize an index created with an incompatible version");const c=new ue(t);return c._documentCount=n,c._nextId=s,c._idToShortId=new Map,c._fieldIds=r,c._avgFieldLength=i,c._dirtCount=o||0,c._index=new X,c}executeQuery(e,t={}){if(e===ue.wildcard)return this.executeWildcardQuery(t);if(typeof e!="string"){const h=Object.assign(Object.assign(Object.assign({},t),e),{queries:void 0}),b=e.queries.map(y=>this.executeQuery(y,h));return this.combineResults(b,h.combineWith)}const{tokenize:n,processTerm:s,searchOptions:r}=this._options,i=Object.assign(Object.assign({tokenize:n,processTerm:s},r),t),{tokenize:o,processTerm:l}=i,g=o(e).flatMap(h=>l(h)).filter(h=>!!h).map(qn(i)).map(h=>this.executeQuerySpec(h,i));return this.combineResults(g,i.combineWith)}executeQuerySpec(e,t){const n=Object.assign(Object.assign({},this._options.searchOptions),t),s=(n.fields||this._options.fields).reduce((x,w)=>Object.assign(Object.assign({},x),{[w]:Pe(n.boost,w)||1}),{}),{boostDocument:r,weights:i,maxFuzzy:o,bm25:l}=n,{fuzzy:c,prefix:f}=Object.assign(Object.assign({},ft.weights),i),g=this._index.get(e.term),h=this.termResults(e.term,e.term,1,e.termBoost,g,s,r,l);let b,y;if(e.prefix&&(b=this._index.atPrefix(e.term)),e.fuzzy){const x=e.fuzzy===!0?.2:e.fuzzy,w=x<1?Math.min(o,Math.round(e.term.length*x)):x;w&&(y=this._index.fuzzyGet(e.term,w))}if(b)for(const[x,w]of b){const R=x.length-e.term.length;if(!R)continue;y==null||y.delete(x);const A=f*x.length/(x.length+.3*R);this.termResults(e.term,x,A,e.termBoost,w,s,r,l,h)}if(y)for(const x of y.keys()){const[w,R]=y.get(x);if(!R)continue;const A=c*x.length/(x.length+R);this.termResults(e.term,x,A,e.termBoost,w,s,r,l,h)}return h}executeWildcardQuery(e){const t=new Map,n=Object.assign(Object.assign({},this._options.searchOptions),e);for(const[s,r]of this._documentIds){const i=n.boostDocument?n.boostDocument(r,"",this._storedFields.get(s)):1;t.set(s,{score:i,terms:[],match:{}})}return t}combineResults(e,t=Ge){if(e.length===0)return new Map;const n=t.toLowerCase(),s=Kn[n];if(!s)throw new Error(`Invalid combination operator: ${t}`);return e.reduce(s)||new Map}toJSON(){const e=[];for(const[t,n]of this._index){const s={};for(const[r,i]of n)s[r]=Object.fromEntries(i);e.push([t,s])}return{documentCount:this._documentCount,nextId:this._nextId,documentIds:Object.fromEntries(this._documentIds),fieldIds:this._fieldIds,fieldLength:Object.fromEntries(this._fieldLength),averageFieldLength:this._avgFieldLength,storedFields:Object.fromEntries(this._storedFields),dirtCount:this._dirtCount,index:e,serializationVersion:2}}termResults(e,t,n,s,r,i,o,l,c=new Map){if(r==null)return c;for(const f of Object.keys(i)){const g=i[f],h=this._fieldIds[f],b=r.get(h);if(b==null)continue;let y=b.size;const x=this._avgFieldLength[h];for(const w of b.keys()){if(!this._documentIds.has(w)){this.removeTerm(h,w,t),y-=1;continue}const R=o?o(this._documentIds.get(w),t,this._storedFields.get(w)):1;if(!R)continue;const A=b.get(w),J=this._fieldLength.get(w)[h],Q=Un(A,y,this._documentCount,J,x,l),W=n*s*g*R*Q,V=c.get(w);if(V){V.score+=W,Hn(V.terms,e);const $=Pe(V.match,t);$?$.push(f):V.match[t]=[f]}else c.set(w,{score:W,terms:[e],match:{[t]:[f]}})}}return c}addTerm(e,t,n){const s=this._index.fetch(n,mt);let r=s.get(e);if(r==null)r=new Map,r.set(t,1),s.set(e,r);else{const i=r.get(t);r.set(t,(i||0)+1)}}removeTerm(e,t,n){if(!this._index.has(n)){this.warnDocumentChanged(t,e,n);return}const s=this._index.fetch(n,mt),r=s.get(e);r==null||r.get(t)==null?this.warnDocumentChanged(t,e,n):r.get(t)<=1?r.size<=1?s.delete(e):r.delete(t):r.set(t,r.get(t)-1),this._index.get(n).size===0&&this._index.delete(n)}warnDocumentChanged(e,t,n){for(const s of Object.keys(this._fieldIds))if(this._fieldIds[s]===t){this._options.logger("warn",`MiniSearch: document with ID ${this._documentIds.get(e)} has changed before removal: term "${n}" was not present in field "${s}". 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t=this.opt.caseSensitive?"":"i",s=this.opt.caseSensitive?["aàáảãạăằắẳẵặâầấẩẫậäåāą","AÀÁẢÃẠĂẰẮẲẴẶÂẦẤẨẪẬÄÅĀĄ","cçćč","CÇĆČ","dđď","DĐĎ","eèéẻẽẹêềếểễệëěēę","EÈÉẺẼẸÊỀẾỂỄỆËĚĒĘ","iìíỉĩịîïī","IÌÍỈĨỊÎÏĪ","lł","LŁ","nñňń","NÑŇŃ","oòóỏõọôồốổỗộơởỡớờợöøō","OÒÓỎÕỌÔỒỐỔỖỘƠỞỠỚỜỢÖØŌ","rř","RŘ","sšśșş","SŠŚȘŞ","tťțţ","TŤȚŢ","uùúủũụưừứửữựûüůū","UÙÚỦŨỤƯỪỨỬỮỰÛÜŮŪ","yýỳỷỹỵÿ","YÝỲỶỸỴŸ","zžżź","ZŽŻŹ"]:["aàáảãạăằắẳẵặâầấẩẫậäåāąAÀÁẢÃẠĂẰẮẲẴẶÂẦẤẨẪẬÄÅĀĄ","cçćčCÇĆČ","dđďDĐĎ","eèéẻẽẹêềếểễệëěēęEÈÉẺẼẸÊỀẾỂỄỆËĚĒĘ","iìíỉĩịîïīIÌÍỈĨỊÎÏĪ","lłLŁ","nñňńNÑŇŃ","oòóỏõọôồốổỗộơởỡớờợöøōOÒÓỎÕỌÔỒỐỔỖỘƠỞỠỚỜỢÖØŌ","rřRŘ","sšśșşSŠŚȘŞ","tťțţTŤȚŢ","uùúủũụưừứửữựûüůūUÙÚỦŨỤƯỪỨỬỮỰÛÜŮŪ","yýỳỷỹỵÿYÝỲỶỸỴŸ","zžżźZŽŻŹ"];let n=[];return e.split("").forEach(r=>{s.every(i=>{if(i.indexOf(r)!==-1){if(n.indexOf(i)>-1)return!1;e=e.replace(new RegExp(`[${i}]`,`gm${t}`),`[${i}]`),n.push(i)}return!0})}),e}createMergedBlanksRegExp(e){return e.replace(/[\s]+/gmi,"[\\s]+")}createAccuracyRegExp(e){const t="!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~¡¿";let 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s=document.createDocumentFragment();for(;e.firstChild;)s.appendChild(e.removeChild(e.firstChild));t.replaceChild(s,e),this.ie?this.normalizeTextNode(t):t.normalize()}normalizeTextNode(e){if(e){if(e.nodeType===3)for(;e.nextSibling&&e.nextSibling.nodeType===3;)e.nodeValue+=e.nextSibling.nodeValue,e.parentNode.removeChild(e.nextSibling);else this.normalizeTextNode(e.firstChild);this.normalizeTextNode(e.nextSibling)}}markRegExp(e,t){this.opt=t,this.log(`Searching with expression "${e}"`);let s=0,n="wrapMatches";const r=i=>{s++,this.opt.each(i)};this.opt.acrossElements&&(n="wrapMatchesAcrossElements"),this[n](e,this.opt.ignoreGroups,(i,o)=>this.opt.filter(o,i,s),r,()=>{s===0&&this.opt.noMatch(e),this.opt.done(s)})}mark(e,t){this.opt=t;let s=0,n="wrapMatches";const{keywords:r,length:i}=this.getSeparatedKeywords(typeof e=="string"?[e]:e),o=this.opt.caseSensitive?"":"i",l=c=>{let h=new RegExp(this.createRegExp(c),`gm${o}`),m=0;this.log(`Searching with expression 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Map,this._dirtCount=0,this._currentVacuum=null,this._enqueuedVacuum=null,this._enqueuedVacuumConditions=Ue,this.addFields(this._options.fields)}add(e){const{extractField:t,tokenize:s,processTerm:n,fields:r,idField:i}=this._options,o=t(e,i);if(o==null)throw new Error(`MiniSearch: document does not have ID field "${i}"`);if(this._idToShortId.has(o))throw new Error(`MiniSearch: duplicate ID ${o}`);const l=this.addDocumentId(o);this.saveStoredFields(l,e);for(const c of r){const h=t(e,c);if(h==null)continue;const m=s(h.toString(),c),f=this._fieldIds[c],b=new Set(m).size;this.addFieldLength(l,f,this._documentCount-1,b);for(const y of m){const x=n(y,c);if(Array.isArray(x))for(const w of x)this.addTerm(f,l,w);else x&&this.addTerm(f,l,x)}}}addAll(e){for(const t of e)this.add(t)}addAllAsync(e,t={}){const{chunkSize:s=10}=t,n={chunk:[],promise:Promise.resolve()},{chunk:r,promise:i}=e.reduce(({chunk:o,promise:l},c,h)=>(o.push(c),(h+1)%s===0?{chunk:[],promise:l.then(()=>new 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Omit the argument to remove all documents.");this._index=new X,this._documentCount=0,this._documentIds=new Map,this._idToShortId=new Map,this._fieldLength=new Map,this._avgFieldLength=[],this._storedFields=new Map,this._nextId=0}}discard(e){const t=this._idToShortId.get(e);if(t==null)throw new Error(`MiniSearch: cannot discard document with ID ${e}: it is not in the index`);this._idToShortId.delete(e),this._documentIds.delete(t),this._storedFields.delete(t),(this._fieldLength.get(t)||[]).forEach((s,n)=>{this.removeFieldLength(t,n,this._documentCount,s)}),this._fieldLength.delete(t),this._documentCount-=1,this._dirtCount+=1,this.maybeAutoVacuum()}maybeAutoVacuum(){if(this._options.autoVacuum===!1)return;const{minDirtFactor:e,minDirtCount:t,batchSize:s,batchWait:n}=this._options.autoVacuum;this.conditionalVacuum({batchSize:s,batchWait:n},{minDirtCount:t,minDirtFactor:e})}discardAll(e){const t=this._options.autoVacuum;try{this._options.autoVacuum=!1;for(const s of 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BONSampler

An abstract type that is the supertype for all methods for sampling BiodiversityObservationNetworks.

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BalancedAcceptance

BalancedAcceptance is a type of BONSampler for generating BiodiversityObservationNetworks with spatial spreading.

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julia
BiodiversityObservationNetwork

A set of Nodes that together create a sampling design for monitoring biodiversity.

BiodiversityObservationNetwork extends the GeoInterface MultiPointTrait type.

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Grid

Grid is a type of BONSampler for generating BiodiversityObservationNetworks with Nodes structured as a systematic grid over the study area.

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julia
KMeans

KMeans is a BONSampler that generates BiodiversityObservationNetworks that aim to be representative of the distribution of environmental variables across an extent represented as a RasterStack.

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Node

A single sampling location within a BiodiversityObservationNetwork, represented as a coordinate.

A Node extends the GeoInterface PointTrait type.

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Polygon

A Polygon extends the GeoInterface API for both PolygonTrait and MultiPolygonTraits.

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julia
Raster

A Raster stores gridded data. The internal representation of this data can be an SDMLayer (from SimpleSDMLayers.jl) or a Matrix.

Raster extends the RasterTrait type from GeoInterface.

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julia
RasterStack

A RasterStack is a set of Rasters, which all have the same resolution and extent, for storing multiple raster-like environmental variables

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SimpleRandom

SimpleRandom is a BONSampler for sampling BiodiversityObservationNetworks where each location in the spatial extent has the same probability of inclusion.

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julia
SpatiallyStratified

SpatiallyStratified is a BONSampler for choosing sites across a set of different spatial stratum.

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julia
sample

Attempt to use BONSampler to sample from a valid geom

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julia
sample

Sample from geom. This is highest level dispatch which assumes nothing about the geometry the user is trying to apply BONSampler to.

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julia
BONSampler

An abstract type that is the supertype for all methods for sampling BiodiversityObservationNetworks.

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julia
BalancedAcceptance

BalancedAcceptance is a type of BONSampler for generating BiodiversityObservationNetworks with spatial spreading.

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',5))]),s("details",v,[s("summary",null,[e[6]||(e[6]=s("a",{id:"BiodiversityObservationNetworks.BiodiversityObservationNetwork",href:"#BiodiversityObservationNetworks.BiodiversityObservationNetwork"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.BiodiversityObservationNetwork")],-1)),e[7]||(e[7]=i()),o(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[8]||(e[8]=a('
julia
BiodiversityObservationNetwork

A set of Nodes that together create a sampling design for monitoring biodiversity.

BiodiversityObservationNetwork extends the GeoInterface MultiPointTrait type.

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julia
Grid

Grid is a type of BONSampler for generating BiodiversityObservationNetworks with Nodes structured as a systematic grid over the study area.

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source

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julia
KMeans

KMeans is a BONSampler that generates BiodiversityObservationNetworks that aim to be representative of the distribution of environmental variables across an extent represented as a RasterStack.

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julia
Node

A single sampling location within a BiodiversityObservationNetwork, represented as a coordinate.

A Node extends the GeoInterface PointTrait type.

source

',4))]),s("details",g,[s("summary",null,[e[18]||(e[18]=s("a",{id:"BiodiversityObservationNetworks.Polygon",href:"#BiodiversityObservationNetworks.Polygon"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.Polygon")],-1)),e[19]||(e[19]=i()),o(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[20]||(e[20]=a('
julia
Polygon

A Polygon extends the GeoInterface API for both PolygonTrait and MultiPolygonTraits.

source

',3))]),s("details",h,[s("summary",null,[e[21]||(e[21]=s("a",{id:"BiodiversityObservationNetworks.Raster",href:"#BiodiversityObservationNetworks.Raster"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.Raster")],-1)),e[22]||(e[22]=i()),o(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[23]||(e[23]=a('
julia
Raster

A Raster stores gridded data. The internal representation of this data can be an SDMLayer (from SimpleSDMLayers.jl) or a Matrix.

Raster extends the RasterTrait type from GeoInterface.

source

',4))]),s("details",m,[s("summary",null,[e[24]||(e[24]=s("a",{id:"BiodiversityObservationNetworks.RasterStack",href:"#BiodiversityObservationNetworks.RasterStack"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.RasterStack")],-1)),e[25]||(e[25]=i()),o(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[26]||(e[26]=a('
julia
RasterStack

A RasterStack is a set of Rasters, which all have the same resolution and extent, for storing multiple raster-like environmental variables

source

',3))]),s("details",f,[s("summary",null,[e[27]||(e[27]=s("a",{id:"BiodiversityObservationNetworks.SimpleRandom",href:"#BiodiversityObservationNetworks.SimpleRandom"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.SimpleRandom")],-1)),e[28]||(e[28]=i()),o(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[29]||(e[29]=a('
julia
SimpleRandom

SimpleRandom is a BONSampler for sampling BiodiversityObservationNetworks where each location in the spatial extent has the same probability of inclusion.

source

',3))]),s("details",j,[s("summary",null,[e[30]||(e[30]=s("a",{id:"BiodiversityObservationNetworks.SpatiallyStratified",href:"#BiodiversityObservationNetworks.SpatiallyStratified"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.SpatiallyStratified")],-1)),e[31]||(e[31]=i()),o(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[32]||(e[32]=a('
julia
SpatiallyStratified

SpatiallyStratified is a BONSampler for choosing sites across a set of different spatial stratum.

source

',3))]),s("details",N,[s("summary",null,[e[33]||(e[33]=s("a",{id:"BiodiversityObservationNetworks.sample-Tuple{BONSampler, Union{BiodiversityObservationNetwork, Polygon, Raster, RasterStack, Vector{<:Polygon}}}",href:"#BiodiversityObservationNetworks.sample-Tuple{BONSampler, Union{BiodiversityObservationNetwork, Polygon, Raster, RasterStack, Vector{<:Polygon}}}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.sample")],-1)),e[34]||(e[34]=i()),o(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[35]||(e[35]=a('
julia
sample

Attempt to use BONSampler to sample from a valid geom

source

',3))]),s("details",O,[s("summary",null,[e[36]||(e[36]=s("a",{id:"BiodiversityObservationNetworks.sample-Union{Tuple{T}, Tuple{BONSampler, T}} where T",href:"#BiodiversityObservationNetworks.sample-Union{Tuple{T}, Tuple{BONSampler, T}} where T"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.sample")],-1)),e[37]||(e[37]=i()),o(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[38]||(e[38]=a('
julia
sample

Sample from geom. This is highest level dispatch which assumes nothing about the geometry the user is trying to apply BONSampler to.

source

',3))])])}const R=r(p,[["render",B]]);export{L as __pageData,R as default}; diff --git a/previews/PR72/assets/index.md.DVvErGgr.js b/previews/PR72/assets/index.md.DVvErGgr.js new file mode 100644 index 0000000..c6ee0a3 --- /dev/null +++ b/previews/PR72/assets/index.md.DVvErGgr.js @@ -0,0 +1 @@ +import{_ as r,c as l,j as s,a as i,G as a,a5 as o,B as n,o as d}from"./chunks/framework.AHo1ctD7.js";const _=JSON.parse('{"title":"BiodiversityObservationNetworks.jl","description":"","frontmatter":{},"headers":[],"relativePath":"index.md","filePath":"index.md","lastUpdated":null}'),p={name:"index.md"},b={class:"jldocstring custom-block",open:""},c={class:"jldocstring custom-block",open:""},v={class:"jldocstring custom-block",open:""},y={class:"jldocstring custom-block",open:""},g={class:"jldocstring custom-block",open:""},u={class:"jldocstring custom-block",open:""},h={class:"jldocstring custom-block",open:""},k={class:"jldocstring custom-block",open:""},m={class:"jldocstring custom-block",open:""},f={class:"jldocstring custom-block",open:""},j={class:"jldocstring custom-block",open:""},O={class:"jldocstring custom-block",open:""},w={class:"jldocstring custom-block",open:""},B={class:"jldocstring custom-block",open:""},N={class:"jldocstring custom-block",open:""},T={class:"jldocstring custom-block",open:""},x={class:"jldocstring custom-block",open:""},E={class:"jldocstring custom-block",open:""},S={class:"jldocstring custom-block",open:""},R={class:"jldocstring custom-block",open:""};function P(L,e,C,A,G,M){const t=n("Badge");return d(),l("div",null,[e[60]||(e[60]=s("h1",{id:"biodiversityobservationnetworks-jl",tabindex:"-1"},[i("BiodiversityObservationNetworks.jl "),s("a",{class:"header-anchor",href:"#biodiversityobservationnetworks-jl","aria-label":'Permalink to "BiodiversityObservationNetworks.jl"'},"​")],-1)),e[61]||(e[61]=s("p",null,"The purpose of this package is to provide a high-level, extensible, modular interface to the selection of sampling point for biodiversity processes in space. It is based around a collection of types representing point selection algorithms, used to select the most informative sampling points based on raster data.",-1)),e[62]||(e[62]=s("div",{class:"warning custom-block"},[s("p",{class:"custom-block-title"},"This package is in development"),s("p",null,[i("The "),s("code",null,"BiodiversityObservationNetworks.jl"),i(" package is currently under development. The API is not expected to change a lot, but it may change in order to facilitate the integration of new features.")])],-1)),s("details",b,[s("summary",null,[e[0]||(e[0]=s("a",{id:"BiodiversityObservationNetworks.BONSampler",href:"#BiodiversityObservationNetworks.BONSampler"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.BONSampler")],-1)),e[1]||(e[1]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[2]||(e[2]=o('
julia
BONSampler

An abstract type that is the supertype for all methods for sampling BiodiversityObservationNetworks.

source

',3))]),s("details",c,[s("summary",null,[e[3]||(e[3]=s("a",{id:"BiodiversityObservationNetworks.BalancedAcceptance",href:"#BiodiversityObservationNetworks.BalancedAcceptance"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.BalancedAcceptance")],-1)),e[4]||(e[4]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[5]||(e[5]=o('
julia
BalancedAcceptance

BalancedAcceptance is a type of BONSampler for generating BiodiversityObservationNetworks with spatial spreading.

Arguments:

  • number_of_nodes: the number of sites to select

  • grid_size: if being used on a polygon, the dimensions of the grid used to cover the extent. Balanced Acceptance sampling uses discrete Cartesian indices

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',5))]),s("details",v,[s("summary",null,[e[6]||(e[6]=s("a",{id:"BiodiversityObservationNetworks.BiodiversityObservationNetwork",href:"#BiodiversityObservationNetworks.BiodiversityObservationNetwork"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.BiodiversityObservationNetwork")],-1)),e[7]||(e[7]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[8]||(e[8]=o('
julia
BiodiversityObservationNetwork

A set of Nodes that together create a sampling design for monitoring biodiversity.

BiodiversityObservationNetwork extends the GeoInterface MultiPointTrait type.

source

',4))]),s("details",y,[s("summary",null,[e[9]||(e[9]=s("a",{id:"BiodiversityObservationNetworks.GeneralizedRandomTessellatedStratified",href:"#BiodiversityObservationNetworks.GeneralizedRandomTessellatedStratified"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.GeneralizedRandomTessellatedStratified")],-1)),e[10]||(e[10]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[11]||(e[11]=o('
julia
GeneralizedRandomTessellatedStratified

GeneralizedRandomTessellatedStratified is a type of BONSampler for generating BiodiversityObservationNetworks with spatial spreading.

Arguments:

  • number_of_nodes: the number of sites to select

  • grid_size: if being used on a polygon, the dimensions of the grid used to cover the extent. GRTS sampling uses discrete Cartesian indices

@Olsen

GRTS represents each cell of a rasterized version of the sampling domain using an address, where the address of each cell is represented as a D-digit base-4 number.

The value of D depends on the size of the raster. GRTS works by recursively splitting the rasterized domain into quadrants, and those quadrants into further quadrants, until a single pixel is reached. At each step, each quadrant is randomly labeled with a number 1, 2, 3, or 4 (without replacement, so all values are used).

The addresses are then sorted numerically, and the number_of_nodes smallest values are chosen.

source

',9))]),s("details",g,[s("summary",null,[e[12]||(e[12]=s("a",{id:"BiodiversityObservationNetworks.Grid",href:"#BiodiversityObservationNetworks.Grid"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.Grid")],-1)),e[13]||(e[13]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[14]||(e[14]=o('
julia
Grid

Grid is a type of BONSampler for generating BiodiversityObservationNetworks with Nodes structured as a systematic grid over the study area.

Arguments:

  • longitude_spacing

  • latitude_spacing

source

',5))]),s("details",u,[s("summary",null,[e[15]||(e[15]=s("a",{id:"BiodiversityObservationNetworks.KMeans",href:"#BiodiversityObservationNetworks.KMeans"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.KMeans")],-1)),e[16]||(e[16]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[17]||(e[17]=o('
julia
KMeans

KMeans is a BONSampler that generates BiodiversityObservationNetworks that aim to be representative of the distribution of environmental variables across an extent represented as a RasterStack.

Arguments:

  • k: the number of sampling sites

source

',5))]),s("details",h,[s("summary",null,[e[18]||(e[18]=s("a",{id:"BiodiversityObservationNetworks.Node",href:"#BiodiversityObservationNetworks.Node"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.Node")],-1)),e[19]||(e[19]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[20]||(e[20]=o('
julia
Node

A single sampling location within a BiodiversityObservationNetwork, represented as a coordinate.

A Node extends the GeoInterface PointTrait type.

source

',4))]),s("details",k,[s("summary",null,[e[21]||(e[21]=s("a",{id:"BiodiversityObservationNetworks.Polygon",href:"#BiodiversityObservationNetworks.Polygon"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.Polygon")],-1)),e[22]||(e[22]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[23]||(e[23]=o('
julia
Polygon

A Polygon extends the GeoInterface API for both PolygonTrait and MultiPolygonTraits.

source

',3))]),s("details",m,[s("summary",null,[e[24]||(e[24]=s("a",{id:"BiodiversityObservationNetworks.Raster",href:"#BiodiversityObservationNetworks.Raster"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.Raster")],-1)),e[25]||(e[25]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[26]||(e[26]=o('
julia
Raster

A Raster stores gridded data. The internal representation of this data can be an SDMLayer (from SimpleSDMLayers.jl) or a Matrix.

Raster extends the RasterTrait type from GeoInterface.

source

',4))]),s("details",f,[s("summary",null,[e[27]||(e[27]=s("a",{id:"BiodiversityObservationNetworks.RasterStack",href:"#BiodiversityObservationNetworks.RasterStack"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.RasterStack")],-1)),e[28]||(e[28]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[29]||(e[29]=o('
julia
RasterStack

A RasterStack is a set of Rasters, which all have the same resolution and extent, for storing multiple raster-like environmental variables

source

',3))]),s("details",j,[s("summary",null,[e[30]||(e[30]=s("a",{id:"BiodiversityObservationNetworks.SimpleRandom",href:"#BiodiversityObservationNetworks.SimpleRandom"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.SimpleRandom")],-1)),e[31]||(e[31]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[32]||(e[32]=o('
julia
SimpleRandom

SimpleRandom is a BONSampler for sampling BiodiversityObservationNetworks where each location in the spatial extent has the same probability of inclusion.

source

',3))]),s("details",O,[s("summary",null,[e[33]||(e[33]=s("a",{id:"BiodiversityObservationNetworks.SpatiallyStratified",href:"#BiodiversityObservationNetworks.SpatiallyStratified"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.SpatiallyStratified")],-1)),e[34]||(e[34]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[35]||(e[35]=o('
julia
SpatiallyStratified

SpatiallyStratified is a BONSampler for choosing sites across a set of different spatial stratum.

source

',3))]),s("details",w,[s("summary",null,[e[36]||(e[36]=s("a",{id:"BiodiversityObservationNetworks._get_address_length-Tuple{Any, Polygon}",href:"#BiodiversityObservationNetworks._get_address_length-Tuple{Any, Polygon}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks._get_address_length")],-1)),e[37]||(e[37]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[38]||(e[38]=o('
julia
_get_address_length

Returns the number of digits in a GeneralizedRandomTessellatedStratified address for a specific geometry. For Polygons, this is computed based on the grid_size field of the GeneralizedRandomTessellatedStratified object. For [Raster](@ref)s, this is computed based on the raster dimensions.

source

',3))]),s("details",B,[s("summary",null,[e[39]||(e[39]=s("a",{id:"BiodiversityObservationNetworks._get_addresses-Tuple{Any, Any}",href:"#BiodiversityObservationNetworks._get_addresses-Tuple{Any, Any}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks._get_addresses")],-1)),e[40]||(e[40]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[41]||(e[41]=o('
julia
_get_addresses()

source

',2))]),s("details",N,[s("summary",null,[e[42]||(e[42]=s("a",{id:"BiodiversityObservationNetworks._get_easting_and_northing-Tuple{GeneralizedRandomTessellatedStratified, Raster}",href:"#BiodiversityObservationNetworks._get_easting_and_northing-Tuple{GeneralizedRandomTessellatedStratified, Raster}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks._get_easting_and_northing")],-1)),e[43]||(e[43]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[44]||(e[44]=o('
julia
_get_easting_and_northing

Rn this is just copy/pasted from BAS. It should dispatch on a set of samplers, with the assumption that the sampler always has a field called grid_size (this also only matters for polygons)

source

',3))]),s("details",T,[s("summary",null,[e[45]||(e[45]=s("a",{id:"BiodiversityObservationNetworks._quadrant_fill!-Tuple{Any}",href:"#BiodiversityObservationNetworks._quadrant_fill!-Tuple{Any}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks._quadrant_fill!")],-1)),e[46]||(e[46]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[47]||(e[47]=o('
julia
_quadrant_fill!(mat)

Takes a matrix mat and splits it into quadrants randomly labeled one through four.

source

',3))]),s("details",x,[s("summary",null,[e[48]||(e[48]=s("a",{id:"BiodiversityObservationNetworks._quadrant_split!-Tuple{Any, Any}",href:"#BiodiversityObservationNetworks._quadrant_split!-Tuple{Any, Any}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks._quadrant_split!")],-1)),e[49]||(e[49]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[50]||(e[50]=o('
julia
_quadrant_split!(mat, grid_size)

Splits a matrix mat into nested quadrants, where the side-length of a submatrix to be split into quadrants is given by grid_size.

source

',3))]),s("details",E,[s("summary",null,[e[51]||(e[51]=s("a",{id:"BiodiversityObservationNetworks._sample-Union{Tuple{T}, Tuple{GeneralizedRandomTessellatedStratified, T}} where T<:Union{Polygon, Raster, Vector{<:Polygon}}",href:"#BiodiversityObservationNetworks._sample-Union{Tuple{T}, Tuple{GeneralizedRandomTessellatedStratified, T}} where T<:Union{Polygon, Raster, Vector{<:Polygon}}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks._sample")],-1)),e[52]||(e[52]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[53]||(e[53]=o('
julia
_sample(sampler::GeneralizedRandomTessellatedStratified, geometry)

Internal dispatch for sampling using GeneralizedRandomTessellatedStratified on a geometry.

source

',3))]),s("details",S,[s("summary",null,[e[54]||(e[54]=s("a",{id:"BiodiversityObservationNetworks.sample-Tuple{BONSampler, Union{BiodiversityObservationNetwork, Polygon, Raster, RasterStack, Vector{<:Polygon}}}",href:"#BiodiversityObservationNetworks.sample-Tuple{BONSampler, Union{BiodiversityObservationNetwork, Polygon, Raster, RasterStack, Vector{<:Polygon}}}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.sample")],-1)),e[55]||(e[55]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[56]||(e[56]=o('
julia
sample

Attempt to use BONSampler to sample from a valid geom

source

',3))]),s("details",R,[s("summary",null,[e[57]||(e[57]=s("a",{id:"BiodiversityObservationNetworks.sample-Union{Tuple{T}, Tuple{S}, Tuple{S, T}} where {S<:BONSampler, T}",href:"#BiodiversityObservationNetworks.sample-Union{Tuple{T}, Tuple{S}, Tuple{S, T}} where {S<:BONSampler, T}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.sample")],-1)),e[58]||(e[58]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[59]||(e[59]=o('
julia
sample

Sample from geom. This is highest level dispatch which assumes nothing about the geometry the user is trying to apply BONSampler to.

source

',3))])])}const q=r(p,[["render",P]]);export{_ as __pageData,q as default}; diff --git a/previews/PR72/assets/index.md.DVvErGgr.lean.js b/previews/PR72/assets/index.md.DVvErGgr.lean.js new file mode 100644 index 0000000..c6ee0a3 --- /dev/null +++ b/previews/PR72/assets/index.md.DVvErGgr.lean.js @@ -0,0 +1 @@ +import{_ as r,c as l,j as s,a as i,G as a,a5 as o,B as n,o as d}from"./chunks/framework.AHo1ctD7.js";const _=JSON.parse('{"title":"BiodiversityObservationNetworks.jl","description":"","frontmatter":{},"headers":[],"relativePath":"index.md","filePath":"index.md","lastUpdated":null}'),p={name:"index.md"},b={class:"jldocstring custom-block",open:""},c={class:"jldocstring custom-block",open:""},v={class:"jldocstring custom-block",open:""},y={class:"jldocstring custom-block",open:""},g={class:"jldocstring custom-block",open:""},u={class:"jldocstring custom-block",open:""},h={class:"jldocstring custom-block",open:""},k={class:"jldocstring custom-block",open:""},m={class:"jldocstring custom-block",open:""},f={class:"jldocstring custom-block",open:""},j={class:"jldocstring custom-block",open:""},O={class:"jldocstring custom-block",open:""},w={class:"jldocstring custom-block",open:""},B={class:"jldocstring custom-block",open:""},N={class:"jldocstring custom-block",open:""},T={class:"jldocstring custom-block",open:""},x={class:"jldocstring custom-block",open:""},E={class:"jldocstring custom-block",open:""},S={class:"jldocstring custom-block",open:""},R={class:"jldocstring custom-block",open:""};function P(L,e,C,A,G,M){const t=n("Badge");return d(),l("div",null,[e[60]||(e[60]=s("h1",{id:"biodiversityobservationnetworks-jl",tabindex:"-1"},[i("BiodiversityObservationNetworks.jl "),s("a",{class:"header-anchor",href:"#biodiversityobservationnetworks-jl","aria-label":'Permalink to "BiodiversityObservationNetworks.jl"'},"​")],-1)),e[61]||(e[61]=s("p",null,"The purpose of this package is to provide a high-level, extensible, modular interface to the selection of sampling point for biodiversity processes in space. It is based around a collection of types representing point selection algorithms, used to select the most informative sampling points based on raster data.",-1)),e[62]||(e[62]=s("div",{class:"warning custom-block"},[s("p",{class:"custom-block-title"},"This package is in development"),s("p",null,[i("The "),s("code",null,"BiodiversityObservationNetworks.jl"),i(" package is currently under development. The API is not expected to change a lot, but it may change in order to facilitate the integration of new features.")])],-1)),s("details",b,[s("summary",null,[e[0]||(e[0]=s("a",{id:"BiodiversityObservationNetworks.BONSampler",href:"#BiodiversityObservationNetworks.BONSampler"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.BONSampler")],-1)),e[1]||(e[1]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[2]||(e[2]=o('
julia
BONSampler

An abstract type that is the supertype for all methods for sampling BiodiversityObservationNetworks.

source

',3))]),s("details",c,[s("summary",null,[e[3]||(e[3]=s("a",{id:"BiodiversityObservationNetworks.BalancedAcceptance",href:"#BiodiversityObservationNetworks.BalancedAcceptance"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.BalancedAcceptance")],-1)),e[4]||(e[4]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[5]||(e[5]=o('
julia
BalancedAcceptance

BalancedAcceptance is a type of BONSampler for generating BiodiversityObservationNetworks with spatial spreading.

Arguments:

  • number_of_nodes: the number of sites to select

  • grid_size: if being used on a polygon, the dimensions of the grid used to cover the extent. Balanced Acceptance sampling uses discrete Cartesian indices

source

',5))]),s("details",v,[s("summary",null,[e[6]||(e[6]=s("a",{id:"BiodiversityObservationNetworks.BiodiversityObservationNetwork",href:"#BiodiversityObservationNetworks.BiodiversityObservationNetwork"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.BiodiversityObservationNetwork")],-1)),e[7]||(e[7]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[8]||(e[8]=o('
julia
BiodiversityObservationNetwork

A set of Nodes that together create a sampling design for monitoring biodiversity.

BiodiversityObservationNetwork extends the GeoInterface MultiPointTrait type.

source

',4))]),s("details",y,[s("summary",null,[e[9]||(e[9]=s("a",{id:"BiodiversityObservationNetworks.GeneralizedRandomTessellatedStratified",href:"#BiodiversityObservationNetworks.GeneralizedRandomTessellatedStratified"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.GeneralizedRandomTessellatedStratified")],-1)),e[10]||(e[10]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[11]||(e[11]=o('
julia
GeneralizedRandomTessellatedStratified

GeneralizedRandomTessellatedStratified is a type of BONSampler for generating BiodiversityObservationNetworks with spatial spreading.

Arguments:

  • number_of_nodes: the number of sites to select

  • grid_size: if being used on a polygon, the dimensions of the grid used to cover the extent. GRTS sampling uses discrete Cartesian indices

@Olsen

GRTS represents each cell of a rasterized version of the sampling domain using an address, where the address of each cell is represented as a D-digit base-4 number.

The value of D depends on the size of the raster. GRTS works by recursively splitting the rasterized domain into quadrants, and those quadrants into further quadrants, until a single pixel is reached. At each step, each quadrant is randomly labeled with a number 1, 2, 3, or 4 (without replacement, so all values are used).

The addresses are then sorted numerically, and the number_of_nodes smallest values are chosen.

source

',9))]),s("details",g,[s("summary",null,[e[12]||(e[12]=s("a",{id:"BiodiversityObservationNetworks.Grid",href:"#BiodiversityObservationNetworks.Grid"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.Grid")],-1)),e[13]||(e[13]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[14]||(e[14]=o('
julia
Grid

Grid is a type of BONSampler for generating BiodiversityObservationNetworks with Nodes structured as a systematic grid over the study area.

Arguments:

  • longitude_spacing

  • latitude_spacing

source

',5))]),s("details",u,[s("summary",null,[e[15]||(e[15]=s("a",{id:"BiodiversityObservationNetworks.KMeans",href:"#BiodiversityObservationNetworks.KMeans"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.KMeans")],-1)),e[16]||(e[16]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[17]||(e[17]=o('
julia
KMeans

KMeans is a BONSampler that generates BiodiversityObservationNetworks that aim to be representative of the distribution of environmental variables across an extent represented as a RasterStack.

Arguments:

  • k: the number of sampling sites

source

',5))]),s("details",h,[s("summary",null,[e[18]||(e[18]=s("a",{id:"BiodiversityObservationNetworks.Node",href:"#BiodiversityObservationNetworks.Node"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.Node")],-1)),e[19]||(e[19]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[20]||(e[20]=o('
julia
Node

A single sampling location within a BiodiversityObservationNetwork, represented as a coordinate.

A Node extends the GeoInterface PointTrait type.

source

',4))]),s("details",k,[s("summary",null,[e[21]||(e[21]=s("a",{id:"BiodiversityObservationNetworks.Polygon",href:"#BiodiversityObservationNetworks.Polygon"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.Polygon")],-1)),e[22]||(e[22]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[23]||(e[23]=o('
julia
Polygon

A Polygon extends the GeoInterface API for both PolygonTrait and MultiPolygonTraits.

source

',3))]),s("details",m,[s("summary",null,[e[24]||(e[24]=s("a",{id:"BiodiversityObservationNetworks.Raster",href:"#BiodiversityObservationNetworks.Raster"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.Raster")],-1)),e[25]||(e[25]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[26]||(e[26]=o('
julia
Raster

A Raster stores gridded data. The internal representation of this data can be an SDMLayer (from SimpleSDMLayers.jl) or a Matrix.

Raster extends the RasterTrait type from GeoInterface.

source

',4))]),s("details",f,[s("summary",null,[e[27]||(e[27]=s("a",{id:"BiodiversityObservationNetworks.RasterStack",href:"#BiodiversityObservationNetworks.RasterStack"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.RasterStack")],-1)),e[28]||(e[28]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[29]||(e[29]=o('
julia
RasterStack

A RasterStack is a set of Rasters, which all have the same resolution and extent, for storing multiple raster-like environmental variables

source

',3))]),s("details",j,[s("summary",null,[e[30]||(e[30]=s("a",{id:"BiodiversityObservationNetworks.SimpleRandom",href:"#BiodiversityObservationNetworks.SimpleRandom"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.SimpleRandom")],-1)),e[31]||(e[31]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[32]||(e[32]=o('
julia
SimpleRandom

SimpleRandom is a BONSampler for sampling BiodiversityObservationNetworks where each location in the spatial extent has the same probability of inclusion.

source

',3))]),s("details",O,[s("summary",null,[e[33]||(e[33]=s("a",{id:"BiodiversityObservationNetworks.SpatiallyStratified",href:"#BiodiversityObservationNetworks.SpatiallyStratified"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.SpatiallyStratified")],-1)),e[34]||(e[34]=i()),a(t,{type:"info",class:"jlObjectType jlType",text:"Type"})]),e[35]||(e[35]=o('
julia
SpatiallyStratified

SpatiallyStratified is a BONSampler for choosing sites across a set of different spatial stratum.

source

',3))]),s("details",w,[s("summary",null,[e[36]||(e[36]=s("a",{id:"BiodiversityObservationNetworks._get_address_length-Tuple{Any, Polygon}",href:"#BiodiversityObservationNetworks._get_address_length-Tuple{Any, Polygon}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks._get_address_length")],-1)),e[37]||(e[37]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[38]||(e[38]=o('
julia
_get_address_length

Returns the number of digits in a GeneralizedRandomTessellatedStratified address for a specific geometry. For Polygons, this is computed based on the grid_size field of the GeneralizedRandomTessellatedStratified object. For [Raster](@ref)s, this is computed based on the raster dimensions.

source

',3))]),s("details",B,[s("summary",null,[e[39]||(e[39]=s("a",{id:"BiodiversityObservationNetworks._get_addresses-Tuple{Any, Any}",href:"#BiodiversityObservationNetworks._get_addresses-Tuple{Any, Any}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks._get_addresses")],-1)),e[40]||(e[40]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[41]||(e[41]=o('
julia
_get_addresses()

source

',2))]),s("details",N,[s("summary",null,[e[42]||(e[42]=s("a",{id:"BiodiversityObservationNetworks._get_easting_and_northing-Tuple{GeneralizedRandomTessellatedStratified, Raster}",href:"#BiodiversityObservationNetworks._get_easting_and_northing-Tuple{GeneralizedRandomTessellatedStratified, Raster}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks._get_easting_and_northing")],-1)),e[43]||(e[43]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[44]||(e[44]=o('
julia
_get_easting_and_northing

Rn this is just copy/pasted from BAS. It should dispatch on a set of samplers, with the assumption that the sampler always has a field called grid_size (this also only matters for polygons)

source

',3))]),s("details",T,[s("summary",null,[e[45]||(e[45]=s("a",{id:"BiodiversityObservationNetworks._quadrant_fill!-Tuple{Any}",href:"#BiodiversityObservationNetworks._quadrant_fill!-Tuple{Any}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks._quadrant_fill!")],-1)),e[46]||(e[46]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[47]||(e[47]=o('
julia
_quadrant_fill!(mat)

Takes a matrix mat and splits it into quadrants randomly labeled one through four.

source

',3))]),s("details",x,[s("summary",null,[e[48]||(e[48]=s("a",{id:"BiodiversityObservationNetworks._quadrant_split!-Tuple{Any, Any}",href:"#BiodiversityObservationNetworks._quadrant_split!-Tuple{Any, Any}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks._quadrant_split!")],-1)),e[49]||(e[49]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[50]||(e[50]=o('
julia
_quadrant_split!(mat, grid_size)

Splits a matrix mat into nested quadrants, where the side-length of a submatrix to be split into quadrants is given by grid_size.

source

',3))]),s("details",E,[s("summary",null,[e[51]||(e[51]=s("a",{id:"BiodiversityObservationNetworks._sample-Union{Tuple{T}, Tuple{GeneralizedRandomTessellatedStratified, T}} where T<:Union{Polygon, Raster, Vector{<:Polygon}}",href:"#BiodiversityObservationNetworks._sample-Union{Tuple{T}, Tuple{GeneralizedRandomTessellatedStratified, T}} where T<:Union{Polygon, Raster, Vector{<:Polygon}}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks._sample")],-1)),e[52]||(e[52]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[53]||(e[53]=o('
julia
_sample(sampler::GeneralizedRandomTessellatedStratified, geometry)

Internal dispatch for sampling using GeneralizedRandomTessellatedStratified on a geometry.

source

',3))]),s("details",S,[s("summary",null,[e[54]||(e[54]=s("a",{id:"BiodiversityObservationNetworks.sample-Tuple{BONSampler, Union{BiodiversityObservationNetwork, Polygon, Raster, RasterStack, Vector{<:Polygon}}}",href:"#BiodiversityObservationNetworks.sample-Tuple{BONSampler, Union{BiodiversityObservationNetwork, Polygon, Raster, RasterStack, Vector{<:Polygon}}}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.sample")],-1)),e[55]||(e[55]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[56]||(e[56]=o('
julia
sample

Attempt to use BONSampler to sample from a valid geom

source

',3))]),s("details",R,[s("summary",null,[e[57]||(e[57]=s("a",{id:"BiodiversityObservationNetworks.sample-Union{Tuple{T}, Tuple{S}, Tuple{S, T}} where {S<:BONSampler, T}",href:"#BiodiversityObservationNetworks.sample-Union{Tuple{T}, Tuple{S}, Tuple{S, T}} where {S<:BONSampler, T}"},[s("span",{class:"jlbinding"},"BiodiversityObservationNetworks.sample")],-1)),e[58]||(e[58]=i()),a(t,{type:"info",class:"jlObjectType jlMethod",text:"Method"})]),e[59]||(e[59]=o('
julia
sample

Sample from geom. This is highest level dispatch which assumes nothing about the geometry the user is trying to apply BONSampler to.

source

',3))])])}const q=r(p,[["render",P]]);export{_ as __pageData,q as default}; diff --git a/previews/PR72/bibliography.html b/previews/PR72/bibliography.html index ae0355e..64dd741 100644 --- a/previews/PR72/bibliography.html +++ b/previews/PR72/bibliography.html @@ -9,17 +9,17 @@ - + - - - + + +
BiodiversityObservationNetworks.jl

Appearance

References ​

Bibliography ​

- + \ No newline at end of file diff --git a/previews/PR72/hashmap.json b/previews/PR72/hashmap.json index db4c1ed..a9e475f 100644 --- a/previews/PR72/hashmap.json +++ b/previews/PR72/hashmap.json @@ -1 +1 @@ -{"bibliography.md":"lp9eY1zx","index.md":"DN7NZc_s"} +{"bibliography.md":"DH9zNn7z","index.md":"DVvErGgr"} diff --git a/previews/PR72/index.html b/previews/PR72/index.html index 7ead217..8d2521a 100644 --- a/previews/PR72/index.html +++ b/previews/PR72/index.html @@ -9,17 +9,17 @@ - + - - - + + + -
BiodiversityObservationNetworks.jl

Appearance

BiodiversityObservationNetworks.jl ​

The purpose of this package is to provide a high-level, extensible, modular interface to the selection of sampling point for biodiversity processes in space. It is based around a collection of types representing point selection algorithms, used to select the most informative sampling points based on raster data.

This package is in development

The BiodiversityObservationNetworks.jl package is currently under development. The API is not expected to change a lot, but it may change in order to facilitate the integration of new features.

BiodiversityObservationNetworks.BONSampler Type
julia
BONSampler

An abstract type that is the supertype for all methods for sampling BiodiversityObservationNetworks.

source

BiodiversityObservationNetworks.BalancedAcceptance Type
julia
BalancedAcceptance

BalancedAcceptance is a type of BONSampler for generating BiodiversityObservationNetworks with spatial spreading.

Arguments:

  • number_of_nodes: the number of sites to select

  • grid_size:

source

BiodiversityObservationNetworks.BiodiversityObservationNetwork Type
julia
BiodiversityObservationNetwork

A set of Nodes that together create a sampling design for monitoring biodiversity.

BiodiversityObservationNetwork extends the GeoInterface MultiPointTrait type.

source

BiodiversityObservationNetworks.Grid Type
julia
Grid

Grid is a type of BONSampler for generating BiodiversityObservationNetworks with Nodes structured as a systematic grid over the study area.

Arguments:

  • longitude_spacing

  • latitude_spacing

source

BiodiversityObservationNetworks.KMeans Type
julia
KMeans

KMeans is a BONSampler that generates BiodiversityObservationNetworks that aim to be representative of the distribution of environmental variables across an extent represented as a RasterStack.

Arguments:

  • k: the number of sampling sites

source

BiodiversityObservationNetworks.Node Type
julia
Node

A single sampling location within a BiodiversityObservationNetwork, represented as a coordinate.

A Node extends the GeoInterface PointTrait type.

source

BiodiversityObservationNetworks.Polygon Type
julia
Polygon

A Polygon extends the GeoInterface API for both PolygonTrait and MultiPolygonTraits.

source

BiodiversityObservationNetworks.Raster Type
julia
Raster

A Raster stores gridded data. The internal representation of this data can be an SDMLayer (from SimpleSDMLayers.jl) or a Matrix.

Raster extends the RasterTrait type from GeoInterface.

source

BiodiversityObservationNetworks.RasterStack Type
julia
RasterStack

A RasterStack is a set of Rasters, which all have the same resolution and extent, for storing multiple raster-like environmental variables

source

BiodiversityObservationNetworks.SimpleRandom Type
julia
SimpleRandom

SimpleRandom is a BONSampler for sampling BiodiversityObservationNetworks where each location in the spatial extent has the same probability of inclusion.

source

BiodiversityObservationNetworks.SpatiallyStratified Type
julia
SpatiallyStratified

SpatiallyStratified is a BONSampler for choosing sites across a set of different spatial stratum.

source

BiodiversityObservationNetworks.sample Method
julia
sample

Attempt to use BONSampler to sample from a valid geom

source

BiodiversityObservationNetworks.sample Method
julia
sample

Sample from geom. This is highest level dispatch which assumes nothing about the geometry the user is trying to apply BONSampler to.

source

- +
BiodiversityObservationNetworks.jl

Appearance

BiodiversityObservationNetworks.jl ​

The purpose of this package is to provide a high-level, extensible, modular interface to the selection of sampling point for biodiversity processes in space. It is based around a collection of types representing point selection algorithms, used to select the most informative sampling points based on raster data.

This package is in development

The BiodiversityObservationNetworks.jl package is currently under development. The API is not expected to change a lot, but it may change in order to facilitate the integration of new features.

BiodiversityObservationNetworks.BONSampler Type
julia
BONSampler

An abstract type that is the supertype for all methods for sampling BiodiversityObservationNetworks.

source

BiodiversityObservationNetworks.BalancedAcceptance Type
julia
BalancedAcceptance

BalancedAcceptance is a type of BONSampler for generating BiodiversityObservationNetworks with spatial spreading.

Arguments:

  • number_of_nodes: the number of sites to select

  • grid_size: if being used on a polygon, the dimensions of the grid used to cover the extent. Balanced Acceptance sampling uses discrete Cartesian indices

source

BiodiversityObservationNetworks.BiodiversityObservationNetwork Type
julia
BiodiversityObservationNetwork

A set of Nodes that together create a sampling design for monitoring biodiversity.

BiodiversityObservationNetwork extends the GeoInterface MultiPointTrait type.

source

BiodiversityObservationNetworks.GeneralizedRandomTessellatedStratified Type
julia
GeneralizedRandomTessellatedStratified

GeneralizedRandomTessellatedStratified is a type of BONSampler for generating BiodiversityObservationNetworks with spatial spreading.

Arguments:

  • number_of_nodes: the number of sites to select

  • grid_size: if being used on a polygon, the dimensions of the grid used to cover the extent. GRTS sampling uses discrete Cartesian indices

@Olsen

GRTS represents each cell of a rasterized version of the sampling domain using an address, where the address of each cell is represented as a D-digit base-4 number.

The value of D depends on the size of the raster. GRTS works by recursively splitting the rasterized domain into quadrants, and those quadrants into further quadrants, until a single pixel is reached. At each step, each quadrant is randomly labeled with a number 1, 2, 3, or 4 (without replacement, so all values are used).

The addresses are then sorted numerically, and the number_of_nodes smallest values are chosen.

source

BiodiversityObservationNetworks.Grid Type
julia
Grid

Grid is a type of BONSampler for generating BiodiversityObservationNetworks with Nodes structured as a systematic grid over the study area.

Arguments:

  • longitude_spacing

  • latitude_spacing

source

BiodiversityObservationNetworks.KMeans Type
julia
KMeans

KMeans is a BONSampler that generates BiodiversityObservationNetworks that aim to be representative of the distribution of environmental variables across an extent represented as a RasterStack.

Arguments:

  • k: the number of sampling sites

source

BiodiversityObservationNetworks.Node Type
julia
Node

A single sampling location within a BiodiversityObservationNetwork, represented as a coordinate.

A Node extends the GeoInterface PointTrait type.

source

BiodiversityObservationNetworks.Polygon Type
julia
Polygon

A Polygon extends the GeoInterface API for both PolygonTrait and MultiPolygonTraits.

source

BiodiversityObservationNetworks.Raster Type
julia
Raster

A Raster stores gridded data. The internal representation of this data can be an SDMLayer (from SimpleSDMLayers.jl) or a Matrix.

Raster extends the RasterTrait type from GeoInterface.

source

BiodiversityObservationNetworks.RasterStack Type
julia
RasterStack

A RasterStack is a set of Rasters, which all have the same resolution and extent, for storing multiple raster-like environmental variables

source

BiodiversityObservationNetworks.SimpleRandom Type
julia
SimpleRandom

SimpleRandom is a BONSampler for sampling BiodiversityObservationNetworks where each location in the spatial extent has the same probability of inclusion.

source

BiodiversityObservationNetworks.SpatiallyStratified Type
julia
SpatiallyStratified

SpatiallyStratified is a BONSampler for choosing sites across a set of different spatial stratum.

source

BiodiversityObservationNetworks._get_address_length Method
julia
_get_address_length

Returns the number of digits in a GeneralizedRandomTessellatedStratified address for a specific geometry. For Polygons, this is computed based on the grid_size field of the GeneralizedRandomTessellatedStratified object. For [Raster](@ref)s, this is computed based on the raster dimensions.

source

BiodiversityObservationNetworks._get_addresses Method
julia
_get_addresses()

source

BiodiversityObservationNetworks._get_easting_and_northing Method
julia
_get_easting_and_northing

Rn this is just copy/pasted from BAS. It should dispatch on a set of samplers, with the assumption that the sampler always has a field called grid_size (this also only matters for polygons)

source

BiodiversityObservationNetworks._quadrant_fill! Method
julia
_quadrant_fill!(mat)

Takes a matrix mat and splits it into quadrants randomly labeled one through four.

source

BiodiversityObservationNetworks._quadrant_split! Method
julia
_quadrant_split!(mat, grid_size)

Splits a matrix mat into nested quadrants, where the side-length of a submatrix to be split into quadrants is given by grid_size.

source

BiodiversityObservationNetworks._sample Method
julia
_sample(sampler::GeneralizedRandomTessellatedStratified, geometry)

Internal dispatch for sampling using GeneralizedRandomTessellatedStratified on a geometry.

source

BiodiversityObservationNetworks.sample Method
julia
sample

Attempt to use BONSampler to sample from a valid geom

source

BiodiversityObservationNetworks.sample Method
julia
sample

Sample from geom. This is highest level dispatch which assumes nothing about the geometry the user is trying to apply BONSampler to.

source

+ \ No newline at end of file