Hamilton County, Indiana precincts shapefile updated for 2022
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Updated
May 5, 2022 - Jupyter Notebook
Hamilton County, Indiana precincts shapefile updated for 2022
Application to visualize temperatures in the counties of Pennsylvania using spatial analysis.
Read a Shapefile according to the Esri standard in binary mode
Run tests and compare results with previous runs
Working with geospatial data in Python, R and QGIS
Shapefile-based flood and coastal hazard mapping for North Carolina counties, in R.
Generates and provides in-memory U.S. State and Time Zone geographic data as well as Repositories to query the in-memory store.
A x-plane moving map with support for esri shapefiles and multi-library plotter
A tutorial on visualizing pollution burden scores & median income by CA census tract
This repository contains the data for the MLRP Mapping Toolkit, developed to help the planning of land repurposing in the Tule and Kaweah subbasins
Senior capstone project: Full-stack geocoding platform for California's HCAI built with Django, React/TypeScript, and Azure Maps integration. Developed bulk shapefile upload workflows, API key management, and geo search + caching for healthcare facility data (CSC 190/191 @ Sac State)
Extract geometry or x,y coordinates of a POLYGON from a MULTIPOLYGON in csv or txt or list format to be used in Jupyter notebook (pyDeck)
Processing multiple GEDI L2B (Canopy Cover and Vertical Profile Metrics) files simultaneously and extracting the necessary information, such as canopy cover, Foliage Height Diversity (FHD), and Plant Area Index (PAI). This Python code automates multi-file processing for large study areas by adding functionality for batch processing and filtering.
Fork of geobr: An R and Python package to download official spatial data sets of Brazil.
R Code to build an interactive political map of illinois
An application that finds shortest route to nearest hospital near you
The dataset records the total number of road traffic accidents in each state for the given period, categorizing the accidents into fatal, severe, and minor incidents. This comprehensive dataset is valuable for analyzing trends and patterns in road safety across the country, helping to identify regions with higher accident incidences.
The Open Cosmogenic Isotope and Luminescence Database
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