You can use various R or Python packages, such as sf, sp, raster, geopandas, rasterio, or pyproj, to manipulate and transform your spatial data. Add your perspective Help others by sharing more ...

A libray with Python functions for calculation of spatial efficiency (SPAEF) metric. Literature: [1] M. C. Demirel, J. Mai, G. Mendiguren, J. Koch, L. Samaniego, and S. Stisen, “Combining satellite ...

Learn tips and tools to handle large and complex spatial data sets efficiently and securely, using Python and open-source libraries. Agree & Join LinkedIn ...

PySAL, the Python spatial analysis library, is an open source cross-platform library for geospatial data science with an emphasis on geospatial vector data written in Python. It supports the ...

Landscape pattern index is commonly used to quantify landscape changes and it allows quantitative monitoring and analysis of evolution in the spatial structure of the landscape (Bai et al., 2008; Fan ...

Spatial data analysis has become increasingly important in various fields, including urban planning, environmental science, agriculture, and epidemiology. With the rise of geographic information ...

In order to study the change of land use/land cover, the technologies of remote sensing and geographical information system were used to analyze the spatial pattern and its spatial temporal changes of ...