elsa

Spatial analysis library

A package providing methods to quantify spatial association in continuous and categorical data, along with other spatial autocorrelation metrics.

A framework that provides the methods for quantifying entropy-based local indicator of spatial association (ELSA) that can be used for both continuous and categorical data. This package offers other methods to measure local indicators of spatial associations (LISA). Furthermore, global spatial structure can be measured using a variogram-like diagram, called entrogram.

GitHub

13 stars
7 watching
1 forks
Language: R
last commit: 10 months ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
juliageometry/regiontrees.jl A Julia package that provides a lightweight framework for defining and working with N-dimensional spatial data structures 111
16eagle/getspatialdata An R package for querying, preprocessing and downloading various spatial datasets from public APIs. 303
riatelab/mta Tools for spatial analysis and territorial typology in multiscalar contexts. 7
ropensci/chopin Automates parallelization of spatial computation for large datasets in geographic information systems 12
spatstat/spatstat A collection of packages and tools for analyzing spatial point pattern data 197
pysal/pysal A comprehensive Python library for geospatial data science and analysis, providing tools for spatial statistics, graph construction, and exploratory data analysis. 1,331
esri/spatial-framework-for-hadoop Allows developers to use Hadoop's data processing system for spatial data analysis 368
qifeidkn/stagate A software framework for learning spatial embeddings from high-dimensional transcriptomics data using an adaptive graph attention auto-encoder 37
moradii/stlnpp An R package for analyzing point patterns on linear networks with spatio-temporal components 13
jblindsay/kdtree An efficient spatial data structure for fast point query operations 43
mapme-initiative/mapme.biodiversity Analysis tool for biodiversity datasets using geospatial data and parallel computing. 33
knaaptime/pysal-scipy20 A comprehensive resource for learning spatial data science with PySAL and its integration with SciPy 2020 66
fitzlab-al/gdm This package provides functions to fit and apply Generalized Dissimilarity Modeling to analyze spatial patterns of biodiversity. 33
lakshmanok/asgbook Automates analysis of spatial grids using algorithms and mathematical models 11
evetion/geoarrays.jl A Julia package that provides a simple interface to work with geospatial raster data. 51