SPATIAL INTERPOLATION IN DIGITAL MAPS

Abstract

Geographers use different methods to study and analyze geographical data for natural and human phenomena. One of these methods is spatial completion, which is a prediction of missing values ​​located between a limited number of sample points for graphic information and can be used to predict unknown values ​​for any geographical data. The hypothesis that makes spatial completion a feasible option is that spatially distributed phenomena are also related to each other spatially. In addition, interpolation is one of the important options in spatial analyzes of GIS software. This software helps to obtain high-accuracy results and clarity of data for various natural and human phenomena.