Analysis of georeferenced rasters and vectors
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Updated
May 30, 2024 - Python
Analysis of georeferenced rasters and vectors
Georeferenced Rasters and Statistics of Nightlights from NASA Black Marble
UArizona DataLab Workshops
ESA Earth Observation Toolbox and Java Development Platform
Identifying the number of locations affected by different flood return periods using dataset of polish address points, flood hazard maps and administrative unit boundaries.
geotiff.js is a small library to parse TIFF files for visualization or analysis. It is written in pure JavaScript, and is usable in both the browser and node.js applications.
Python library for management for geospatial data in GeoServer.
Georeferenced Rasters and Statistics of Nighttime Lights from NASA Black Marble
Geo-spatial utilities for Remote Sensing and GIS application
This project uses HydroSHEDS data & giscoR + sf to visualize river basins in Brazil.
Mapping light pollution, and places to avoid it, using R and Leaflet
Tools for raster data including geophysical applications and digital elevation models
Aggregating gridded data (xarray) to polygons
A tidy Python package for geospatial computation
GEMS Learning x003.0 - An Introduction to Spatial Data Analysis in R
Geospatial toolkit for Python
Signal Processing Toolbox for Calcium Imaging Data
A foundational Geographic Information System project developed in Python, demonstrating basic GIS operations like handling spatial data, triangulation, and spatial analysis. This archived project serves as an early career milestone and a resource for those new to GIS programming.
Download raster data from the Soil and Landscape Grid of Australia - http://www.clw.csiro.au/aclep/soilandlandscapegrid/
Spatial data processing for geomodeling
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