Ishaq Ali Shah

To develop a spatial distribution map of the correlation between vegetation and climate, you will need to follow these general steps:

Obtain data: Gather data on both vegetation and climate variables. This may include remote sensing data, ground-based measurements, and climate models. Make sure that your data covers the same spatial and temporal scales.

Preprocess data: Once you have obtained your data, you will need to preprocess it. This includes removing any outliers, filling in any missing data, and converting the data into a suitable format for analysis.

Calculate correlation: Use statistical software such as R or Python to calculate the correlation between the vegetation and climate variables. The correlation coefficient will range from -1 to 1, with negative values indicating a negative correlation, positive values indicating a positive correlation, and values close to 0 indicating no correlation.

Create a spatial distribution map: Once you have calculated the correlation between the vegetation and climate variables, you can create a spatial distribution map. This can be done using GIS software such as ArcGIS or QGIS. You will need to map the correlation values onto a grid or map, and use a color scale to represent the values.

Interpret the map: Once you have created the spatial distribution map, you will need to interpret the results. Look for areas of high correlation between vegetation and climate, as well as areas of low correlation. Consider the spatial patterns and how they relate to known ecological and climatic factors.

Validate the results: Finally, you will need to validate your results. This may involve comparing your map to other maps of vegetation or climate, or conducting fieldwork to confirm the correlation patterns that you have identified.

Dear Aahed Alhamamy

Please elaborate your following statement you quoted in previous answer, I need this actually.

"Create a spatial distribution map: Once you have calculated the correlation between the vegetation and climate variables, you can create a spatial distribution map. This can be done using GIS software such as ArcGIS or QGIS. You will need to map the correlation values onto a grid or map, and use a color scale to represent the values."

The easiest way in ArcGIS would be:

1. Make fishnet grid (500 x 500 meters or the corresponding resoluton of the MODIS product - I assume you are using MODIS data)

2. Apply Zonal Stats from the NDVI and the LST to the fishnet, with the Mean pixel values

3. Now your "fishnet" regular vector grid has 3 columsn: ID, Mean-LST, Mean-NDVI

4. Run OLS or GWR https://desktop.arcgis.com/en/arcmap/latest/tools/spatial-statistics-toolbox/ordinary-least-squares.htm

Thank you Dimo