1. First, you need to have a vector map of the research area in shp format (many websites can download vector maps of counties or provincial boundaries in various regions of the country, such as Xiaomuchong). Take Shanxi Province as an example:
2. Import the csv format data of the longitude, latitude, temperature (or precipitation) of the sample plot or sample point in this research area. The approximate format of the data is as follows: (GST is temperature, MAP is precipitation)
After importing:
3. Right-click "Precipitation and Temperature for Interpolation.csv" in the layer, select to display XY coordinates, select longitude for the X field, and select latitude for the Y field
4. Open "Window-Category-Toolbox-System Toolbox-spatial Analyst Tools-Interpolation Analysis-Inverse Distance Weighting Method", here is the "Inverse Distance Weighting Method" as an example, and other interpolation methods can also be used:
The parameters that need to be set are as follows:
And set it in the environment marked with a red pen in the above picture:
Processing range: the same as Export_output (that is, the same range as shp vector graphics)
Raster Analysis: Mask - Export_output
Then return to the above page and click OK.
5. Load the temperature interpolation layer generated in the previous step (generally no operation is required, it will be loaded automatically)
6. Right-click the temperature interpolation layer in the layer to open "Layer Properties-Symbolism-Color Ribbon", you can set it to your favorite beautiful color, or set it into several categories and middle values in the interface below:
After setting:
It can also be set to a gradient of the same color:
7. The last step is to make the thematic map, add the scale, compass, latitude and longitude, etc., you can find many detailed tutorials on making thematic maps in arcgis by Baidu. Finally, I will post a picture of ugly color matching, I hope it will not be ugly to everyone, I have to keep the good-looking color matching for myself~~
Source of this article: Ashue de Grocery Store
Tree Valley Database Resource Encyclopedia (updated on May 29)