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spatial-analyst.net is a non-commercial website intended for users interested in advanced use of geocomputational tools. The topics discussed generally belong to spatio-temporal data analysis sciences, digital cartography, geomorphometry, geostatistics, geovisualization, GPS navigation, raster-based GIS modelling and similar. Most of the articles presented are only supplementary materials to various research publications. Visitors of the website are kindly asked to refer to the peer-reviewed publications, when citing some of the materials, instead of referring to the URL of an article. All materials are prepared on an informative basis only. This is a wiki project, which obviously means that you can edit, extend and modify much of its content. Please also read the disclaimer before using some of the materials. The website is available in english and hrvatski. and NO! This site has not much to do with the ESRI's spatial analyst extension.

• Install R, ILWIS, SAGA, and GRASS GIS
• Get training in R
• Learn scripting in R
• Run regression-kriging
• Choose the best spatial predictor
• Export maps to Google Earth
• Obtain global datasets

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This article describes a computational framework to map species' distributions using occurrence-only data and environmental predictors illustrated using a textbook example: the dataset "bei", distributed together with the spatstat package, and used in school books on point pattern analysis by Baddeley (2008) and many other authors. This demonstrates that the three conceptually different techniques --- Point Pattern Analysis, ENFA and Geostatistics --- can be successfully combined. We implement this framework in the R statistical computing environment, where various habitat analysis (adehabitat package), geostatistical (gstat package), and point pattern analysis (spatstat package) functions can be successfully combined. Here you can obtain the original R script and request a copy of the preprint of the article submitted to the Ecological Modelling journal.

The Geomorphometry (science of quantitative DEM analysis) conference continues a series initiated by the Terrain Analysis and Digital Terrain Modelling conference hosted by Nanjing Normal University in November 2006. The 2009 conference will be held at the University of Zurich, Department of Geography (Irchel campus). To register for the 2-day R+SAGA/GRASS workshop (29-39.08.2009; the workshop will be moderated by Tomislav Hengl & Carlos H. Grohmann), please fill out the registration forms. The workshop fees are 150 CHF (PhD students); the workshop is limited to 25 participants.