Computer modelling the map of average
annual temperature in the ground layer of air is performed for the southern
part of Western Siberia (Russia). Four methods for data interpolation were used
in ArcMap 9. Procedure of creation of digital model is described in detail. An
original mathematic way for ranking of methods is proposed. According to
results, Ordinary Kriging method gives the best approximation to the initial
data.
References
[1]
Climate Handbook USSR (1966). Vol. II. The Temperature of the Air and Soil. No. 18. Kazakh SSR. L., 656 p.
[2]
Scientific and Applied Climate Handbook USSR (1998). Ser. 3 Long-Term Data. Vol. 1-6, No.17. Tyumen and Omsk Region. SPb., 702 p.
ArcGis 9 ArcMap User guide (2000-2004). ESRI. 219 p.
[6]
ArcGis 9 Spatial Analyst User Guide (1999-2001). ESRI. 219 p.
[7]
Polikarpov, N. P., Tchebakova, N. M., & Nazimova, D. I. (1986). Climate and Mountain Forests of Southern Siberia. Novosibirsk, 226 p.
[8]
http://gis-lab.info/qa/srtm.html
[9]
Tsaregorodcev, V. G., & Pogrebnaya, N. A. (1998). Neural Network Method of Information Processing in the Prediction Problem Climatic Characteristics and Silvicultural Properties of Landscape Zones. Methods of Neuroinformatics. Collection of Scientific Works, Krasnoyarsk, 65-110.
[10]
Natural Zoning and the Current State of Soils of the Novosibirsk Region (Atlas) (2010). Novosibirsk, 20 p.
[11]
Alisov, B. P., Berlin, I. A., & Michael, V. M. (1954). Course Climatology. Vol. 3. The Climate of the Globe. L., 321 p.
