I did some thermal maps of the Girona’s atmospheric urban heat island with a method of car's mobile transect. I use the software Surfer 6.0 to do the maps, but Surfer isn’t a Geographical Information System, I think this is a throuble. Also in my transects there is a very high spatial density of observation points in the downtown of the city of Girona (15/km2) and a low density in rural areas (2/km2). I always interpolate isotherms with the kriging method. What is the best method to interpolate temperatures (Kriging, IDW, etc.) in my area of interest, Girona and it environs? Can you give me bibliographic citations?
Gerard Taulé Codinach
It is important to note that the choice of interpolation method depends on the specific characteristics of the data and the study area. However, in general, kriging is considered to be one of the most accurate methods for interpolating temperature data.
In your case, since you have a high spatial density of observation points in the downtown area and a lower density in rural areas, it might be useful to use a spatially adaptive interpolation method such as kriging with varying local means (KVL) or regression kriging (RK). These methods can account for the varying spatial patterns of temperature across the study area.
Here are some references that might be helpful:
- Stein, A. (2012). Interpolation of Spatial Data: Some Theory for Kriging. Springer Science & Business Media.
- Oliver, M. A., & Webster, R. (2014). A tutorial guide to geostatistics: Computing and modelling variograms and kriging. Catena, 113, 56-69.
- Hengl, T. (2009). A practical guide to geostatistical mapping. Office for Official Publications of the European Communities.
- Zhang, Y., & Li, W. (2014). Spatial interpolation of temperature using kriging with varying local means. International Journal of Applied Earth Observation and Geoinformation, 27, 36-44.
- Li, X., Li, J., & Li, Y. (2019). Comparison of interpolation methods for temperature in the Yellow River Basin. International Journal of Remote Sensing, 40(8), 2961-2979.
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