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📐 Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.
Raster-based Spatial Analytics for Python
🧞The highly productive Julia web framework
A framework for out-of-core and parallel execution
Types and constructors for spatially referenced graphs.
cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.
Edge-weighted graphs compatible with Graphs.jl
source code for the connectivity analysis of Puig Ciutat
Collaboration project with Analytics Lab at CSP, Instituto Tecnologico Vale, and Microsoft Brazil for estimating suspended sediment in the Itacaiunas River Basin
Generation of neutral landscapes in Julia.
Simple geographical vector interaction built on top of ArchGDAL
Archive of early development of SpatialGraphs.jl -- preserved because it is a dependency for other work
Simple weighted graphs. Requires LightGraphs.jl.
Extract raster data from ArcGIS/ESRI formats
A high level API for GDAL - Geospatial Data Abstraction Library
Algorithms from circuit theory to predict connectivity in heterogeneous landscapes