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opengeos
whitebox:'WhiteboxTools' R Frontend
An R frontend for the 'WhiteboxTools' library, which is an advanced geospatial data analysis platform developed by Prof. John Lindsay at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. 'WhiteboxTools' can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. 'WhiteboxTools' also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. Suggested citation: Lindsay (2016) <doi:10.1016/j.cageo.2016.07.003>.
Maintained by Andrew Brown. Last updated 5 months ago.
geomorphometrygeoprocessinggeospatialgishydrologyremote-sensingrstudio
10.0 match 173 stars 9.65 score 203 scripts 2 dependentsr-spatial
RSAGA:SAGA Geoprocessing and Terrain Analysis
Provides access to geocomputing and terrain analysis functions of the geographical information system (GIS) 'SAGA' (System for Automated Geoscientific Analyses) from within R by running the command line version of SAGA. This package furthermore provides several R functions for handling ASCII grids, including a flexible framework for applying local functions (including predict methods of fitted models) and focal functions to multiple grids. SAGA GIS is available under GPL-2 / LGPL-2 licences from <https://sourceforge.net/projects/saga-gis/>.
Maintained by Alexander Brenning. Last updated 1 months ago.
10.6 match 23 stars 8.72 score 275 scriptsr-spatial
RPyGeo:ArcGIS Geoprocessing via Python
Provides access to ArcGIS geoprocessing tools by building an interface between R and the ArcPy Python side-package via the reticulate package.
Maintained by Alexander Brenning. Last updated 5 years ago.
6.9 match 29 stars 6.19 score 54 scriptsr-spatial
qgisprocess:Use 'QGIS' Processing Algorithms
Provides seamless access to the 'QGIS' (<https://qgis.org>) processing toolbox using the standalone 'qgis_process' command-line utility. Both native and third-party (plugin) processing providers are supported. Beside referring data sources from file, also common objects from 'sf', 'terra' and 'stars' are supported. The native processing algorithms are documented by QGIS.org (2024) <https://docs.qgis.org/latest/en/docs/user_manual/processing_algs/>.
Maintained by Floris Vanderhaeghe. Last updated 5 months ago.
2.0 match 210 stars 10.09 score 175 scriptspfizer-opensource
zippeR:Working with United States ZIP Code and ZIP Code Tabulation Area Data
Provides a set of functions for working with American postal codes, which are known as ZIP Codes. These include accessing ZIP Code to ZIP Code Tabulation Area (ZCTA) crosswalks, retrieving demographic data for ZCTAs, and tabulating demographic data for three-digit ZCTAs.
Maintained by Christopher Prener. Last updated 18 days ago.
1.9 match 11 stars 6.52 score 5 scripts 1 dependentszhukovyuri
SUNGEO:Sub-National Geospatial Data Archive: Geoprocessing Toolkit
Tools for integrating spatially-misaligned GIS datasets. Part of the Sub-National Geospatial Data Archive System.
Maintained by Yuri M. Zhukov. Last updated 10 months ago.
2.9 match 5 stars 3.42 score 8 scriptsmkoohafkan
arcpy:Interface to 'ArcGIS' 'Python' Modules
An interface to the 'ArcGIS' 'arcpy' and 'arcgis' 'python' API <https://pro.arcgis.com/en/pro-app/latest/arcpy/get-started/arcgis-api-for-python.htm>. Provides various tools for installing and configuring a 'Conda' environment for accessing 'ArcGIS' geoprocessing functions. Helper functions for manipulating and converting 'ArcGIS' objects from R are also provided.
Maintained by Michael Koohafkan. Last updated 6 months ago.
0.5 match 9 stars 5.26 score 9 scriptsleapigufpb
FuzzyClass:Fuzzy and Non-Fuzzy Classifiers
It provides classifiers which can be used for discrete variables and for continuous variables based on the Naive Bayes and Fuzzy Naive Bayes hypothesis. Those methods were developed by researchers belong to the 'Laboratory of Technologies for Virtual Teaching and Statistics (LabTEVE)' and 'Laboratory of Applied Statistics to Image Processing and Geoprocessing (LEAPIG)' at 'Federal University of Paraiba, Brazil'. They considered some statistical distributions and their papers were published in the scientific literature, as for instance, the Gaussian classifier using fuzzy parameters, proposed by 'Moraes, Ferreira and Machado' (2021) <doi:10.1007/s40815-020-00936-4>.
Maintained by Jodavid Ferreira. Last updated 5 months ago.
0.5 match 1 stars 4.00 score 10 scripts