Abstract
Abstract. Management of spatial data by means of Geographic Information System (GIS) plays an essential role based on the latest achievements in Geomatics domain. Geomatics offers the possibility to share, compare, and exchange data between researcher and users in unambiguous and accessible ways for map production and user-friendly technologies for results communication. Although sometimes the geodesist’s contribution to certain projects for landslide monitoring meant to develop early-warning-systems or risk maps is not adequately appreciated and he is only seen as supplier of measured geometric data, the geodesist has a significant contribution through his abilities regarding the modelling of dynamic systems, like strategic constructions (dams, tall buildings etc.) or landslides and data processing and interpretation. This study focuses on using geomorphological characteristics to detect the changes and the effects of landsliding using the ArcGIS 10.1 extension, Geostatistical Analyst. One of the main uses of geostatistics is to predict values of a sampled variable over the whole area of interest, which is referred to as spatial prediction or spatial interpolation. The extension allows creating a surface from data measurements occurring over an area where collecting information for every possible location would be impossible and gives us the possibility to fully understand the qualitative and quantitative aspects of the data. By providing us with the opportunity to predict and model spatial phenomena based on statistics and incorporating powerful exploration tools, ArcGIS Geostatistical Analyst effectively bridges the gap between geostatistics and geographic information system (GIS) analysis.
Highlights
Geostatistics represents a branch of statistics specializing in analysis and interpretation of data with geographic reference
Geostatistics is closely linked to the interpolation process, which represents the art of designing the results of the available data, giving a hint about the appropriate hypothesis
Geostatistics implies more than data interpolation, being used to predict values based on sampled variables in an area of interest, method known as spatial prediction
Summary
Geostatistics represents a branch of statistics specializing in analysis and interpretation of data with geographic reference. Geostatistics consists of statistical techniques adjusted to spatial data. This discipline has gradually developed and has been applied over time in many areas of the world. Accurate results can be obtained by using ArcGIS Geostatistical Analyst extension that provides a set of tools for exploring spatial data and generating surfaces by using statistical methods. This extension allows users to create surfaces based on measured data of a surface, where the collection of information for each individual location would be impossible. The present paper proposes a comparative analysis of the main methods of prediction of the glimes in the Transylvanian area, Romania using Ka – the erosion factor
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