A New Convex Hull Algorithm for Planar Sets
ACM Transactions on Mathematical Software (TOMS)
Using the R statistical data analysis language on GRASS 5.0 GIS database files
Computers & Geosciences
Open Source GIS: A Grass GIS Approach
Open Source GIS: A Grass GIS Approach
R: a data analysis and statistical programming environment-an emerging tool for the geosciences
Computers & Geosciences
SRTM-based morphotectonic analysis of the Poços de Caldas Alkaline Massif, southeastern Brazil
Computers & Geosciences
Geostatistical modeling of topography using auxiliary maps
Computers & Geosciences
Trend-surface analysis of morphometric parameters: A case study in southeastern Brazil
Computers & Geosciences
Robust rectification of aerial photographs in an open source environment
Computers & Geosciences
GRASS GIS: A multi-purpose open source GIS
Environmental Modelling & Software
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Development and interpretation of morphometric maps are important tools in studies related to neotectonics and geomorphology; Geographic Information Systems (GIS) allows speed and precision to this process, but applied methodology will vary according to available tools and degree of knowledge of each researcher about involved software. A methodology to integrate GIS and statistics in morphometric analysis is presented for the most usual morphometric parameters-hypsometry, slope, aspect, swath profiles, lineaments and drainage density, surface roughness, isobase and hydraulic gradient. The GIS used was the Geographic Resources Analysis Support System (GRASS-GIS), an open-source project that offers an integrated environment for raster and vector analysis, image processing and maps/graphics creation. Statistical analysis of parameters can be carried out on R, a system for statistical computation and graphics, through an interface with GRASS that allows raster maps and points files to be treated as variables for analysis. The basic element for deriving morphometric maps is the digital elevation model (DEM). It can be interpolated from scattered points or contours, either in raster or vector format; it is also possible to use DEMs from NASA's Shuttle Radar Topographic Mission, with 30m of ground resolution for the USA and 90m for other countries. Proposed methodology can be adapted according to necessities and available tools. The use of free and open-source tools guarantees access to everyone, and its increasing popularization opens new development perspectives in this research field.