Pawel Netzel
Jakub Nowosad
Jaroslaw Jasiewicz
Jacek Niesterowicz
Tomasz Stepinski
2018-02-27
<p>GeoPAT 2 (Geospatial Pattern Analysis Toolbox) is a standalone suite of modules written in C and dedicated to analysis of large Earth Science datasets in their entirety using spatial and/or temporal patterns. Global scale, high resolution spatial datasets are available but are mostly used in small pieces for local studies. GeoPAT enables studying them in their entirety. GeoPAT’s core idea is to tessellate global spatial data into grid of square blocks of original cells (pixels). This transforms data from its original form (huge number of cells each having simple content) to a new form (much smaller number of supercells/blocks with complex content). Complex cell contains a pattern of original variable. GeoPAT provides means for succinct description of such patterns and for calculation of similarity between patterns. This enables spatial analysis such as search, change detection, segmentation, and clustering to be performed on the grid of complex cells (local patterns).</p>
https://doi.org/10.5281/zenodo.3907385
oai:zenodo.org:3907385
eng
Zenodo
https://doi.org/10.5281/zenodo.1185407
info:eu-repo/semantics/openAccess
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
spatial
spatial patterns
segmentation
regionalization
change detection
landscape indices
GeoPAT 2: user's manual
info:eu-repo/semantics/technicalDocumentation