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Analysis of land use and cover change using satellite imagery
The main features of azvoleff/teamlucc are: R Spatial Analysis Tools.
Projects with overlapping indexed features include: 16eagle/movevis — An R package for visualizing movement data (e.g. from GPS tracking) and synchronous environmental data (e.g. from… axlehner/spatialrdd — SpatialRDD. babaknaimi/elsa — A framework that provides the methods for quantifying entropy-based local indicator of spatial association (ELSA) that… baddstats/polyclip — R package polyclip: a port of the Clipper library for polygon geometry. benjilu/foresterror — A Unified Framework for Random Forest Prediction Error Estimation. 16eagle/getspatialdata — An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All…
An R package for visualizing movement data (e.g. from GPS tracking) and synchronous environmental data (e.g. from remote sensing) as video animations.
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.
An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
