🗺 Optimal point of sales in a spatial dataset
-
Updated
May 30, 2020 - R
🗺 Optimal point of sales in a spatial dataset
A modern agent-based modeling framework.
[OBSOLETE; USE EPICSPATIAL INSTEAD] An epidemic modelling framework for all resolutions of gridded and polygon spatial data
Explore the Transformer architecture, a Python toolkit engineered for top-tier machine learning performance in processing sequential and spatial data tasks.
Frame wise identification of dominant speakers in short videos using spatial models
Submission to the GeoLifeCLEF 2019 Species Recommendation Challenge
Sussman A.L., Gardner B., Adams E.M., Salas L., Kenow K.P., Luukkonen D.R., Monfils M.J., Mueller W.P., Williams K.A., Leduc-Lapierre M., & Zipkin E.F. 2019. A comparative analysis of common methods to identify waterbird hotspots. MEE 10(9): 1454-1468.
Teoria de juegos evolutivos machos fieles y atorrantes hembras faciles y esquivas
teoria de juegos evolutivos individuos grandes y chicos que comparten o pelean
Code for 'High rises and housing stress: A spatial big-data analysis of rental housing financialization'
A Machine Learning Aware Spatial Data Re-partitioning Framework for Spatial Datasets
The R package varycoef implements Gaussian processes spatially varying coefficient models.
Extension of mesa for performance and scalability
FLAME GPU 2 is a GPU accelerated agent based modelling framework for CUDA C++ and Python
Spatio-temporal analysis of univariate or multivariate data, e.g., standardizing data for multiple species or stages
Main repository for developing the 1.x versions of GAMA
Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Ran…
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Add a description, image, and links to the spatial-models topic page so that developers can more easily learn about it.
To associate your repository with the spatial-models topic, visit your repo's landing page and select "manage topics."