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@ -1038,6 +1038,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
* [kuenm](https://github.com/marlonecobos/kuenm) - kuenm is an R package designed to make the process of model calibration and final model creation easier and more reproducible, and at the same time more robust.
* [landmap](https://github.com/EnvirometriX/landmap) - Provides methodology for automated mapping i.e. spatial interpolation and/or prediction using Ensemble Machine Learning.
* [Landsat](https://cran.r-project.org/web/packages/landsat/index.html) - Radiometric and topographic correction of satellite imagery.
* [LandsatTS](https://github.com/logan-berner/LandsatTS) - An R package to facilitate retrieval, cleaning, cross-calibration, and phenological modeling of Landsat time-series data.
* [landscapemetrics](https://github.com/r-spatialecology/landscapemetrics) - landscapemetrics is an R package for calculating landscape metrics for categorical landscape patterns in a tidy workflow.
* [latticeDensity](https://cran.r-project.org/web/packages/latticeDensity/index.html) - Contains functions that compute the lattice-based density estimator of Barry and McIntyre.
* [lawn](https://cran.r-project.org/web/packages/lawn/index.html) - Client for 'Turfjs' for 'geospatial' analysis. The package revolves around using 'GeoJSON' data.