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

TerrSet Geospatial Monitoring and Modeling Software

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

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

This repository provides the foundation for developing scalable, modular, and efficient model backends within the OneHealth Platform project

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

The goal of this project was to analyze digital elevation data from a set of watersheds along the western flank of the Southern Alps of New Zealand. The study focused on watersheds located in the immediate hanging wall of the Alpine Fault, where rapid tectonic uplift driven by fault motion coincides with active glacial erosion of the landscape.

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)

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

A graph-based methodology for evaluating and refining the spatial neighbour matrix used in spatial-temporal data analysis. Done as part of the curriculum unit Time and Spatial Econometrics (April–June 2024).

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

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.

Exploratory data analysis and visualization of Chicago crime (2001–2017) using Python, Pandas, Seaborn, and Folium. Includes interactive maps and statistical charts.

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

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

Quakes drop, we pop! Explore 30 days of real earthquakes, check out cool maps, and dive into a fun “What If” game where you get to test quake powers and watch the impact happen!

Geospatial analysis of remote observation data.

Agentic solar energy tool using geospatial APIs to provide predictive reliability and hardware ROI for any coordinate on Earth.

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