This includes short and minimalistic few sessions covering fundamentals of Python programing language for geospatial data analysis.

This repo contain the most common tools used in geospatial analysis using python!

TerrSet Geospatial Monitoring and Modeling Software

Geospatial data science project about NYC traffic, with ArcGIS, EDA and a machine learning model to predict NYC traffic volume.

Processing Tool for Heat Demand Data

GIS and R Project: Crime Analysis in Chapel Hill, North Carolina for 2018 to 2020

Outlier detection for GEDI waveform lidar data

The main objective of this project is to find insights and get some idea about the restaurants in Bangalore using different techniques like EDA, Geospatial and Sentiment Analysis.

Link to Report: https://adminliveunc-my.sharepoint.com/:w:/r/personal/tadennis_ad_unc_edu/Documents/Capstone%20Group/Final%20Report%20Draft.docx?d=wba9e7182a9b948898133e4f89def1d90&csf=1&web=1&e=fQGAfy

census data analysis of Robeson county in NC, analyzing household income, race distribution, etc

CMSC 198.2: Special Project on Traffic Accident Spatial Analysis using Geospatial Data Science with ArcGIS

This code snippet demonstrates the geospatial analysis and visualization of Equatorial Guinea using Google Earth Engine. It includes layers for slope analysis, gross primary productivity (GPP), normalized burn ratio thermal (NBRT), and normalized difference vegetation index (NDVI)

Raster, NDVI, Zonal Stats and Census Analysis of Sacramento County

GIS Programming with Python Scripts. Functions: Automating Geoprocessing Tasks, Scripting Workflows, Data Management, Map Automation, Spatial Analysis and Batch Processing