COMPARISON OF QGIS INTERPOLATION MODULES CAPABILITIES FOR MARINE CLIMATE RESEARCH ON DUTY WITH AN ARRAY OF LOW-SECURITY DATA

https://doi.org/10.24057/2414-9179-2016-1-22-76-88

View or download the article (Rus)

About the Authors

A. M. Novikova

FSBSI «Institute of natural and technical systems»
Russian Federation

Department of Oceanography Actual Problems, researcher

Sevastopol, 299011, Russia

A. B. Polonskij

FSBSI «Institute of natural and technical systems» Oceanographic Center
Russian Federation

head, professor

Sevastopol, 299011, Russia

A. A. Novikov

Branch of M.V. Lomonosov Moscow State University, Geography Department
Russian Federation

senior teacher

Sevastopol, 299001, Russia

Abstract

In the article the urgency of modern methods’ active use in oceanographic data spatial analysis from the perspective of geo-information and geostatistical approaches is approved. There are analyzed the possibilities of some open GIS QGIS statistical modules for practical problems of data quality rapid assessment solution. The quality of QGIS interpolation modules is estimated representing methods of kriging and radial basis functions (splines) by using an array of low-security data.

Keywords

QGIS, statistics modules, kriging, regularized spline with tension, bicubic spline interpolation with Tikhonov regularization.

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For citation: Novikova A.M., Polonskij A.B., Novikov A.A. COMPARISON OF QGIS INTERPOLATION MODULES CAPABILITIES FOR MARINE CLIMATE RESEARCH ON DUTY WITH AN ARRAY OF LOW-SECURITY DATA. Proceedings of the International conference “InterCarto. InterGIS”. 2016;22(1):76-88. https://doi.org/10.24057/2414-9179-2016-1-22-76-88