Module 6: Isarithmic Mapping


 This week’s assignment was to create an isarithmic map of precipitation data for the state of Washington.

Isarithmic maps depict smooth, continuous phenomena across an area using various symbology methods. They are especially useful for visualizing gradual spatial changes, such as temperature, elevation, or in this case, precipitation.

The precipitation data used was derived from a raster dataset representing average annual precipitation in inches. I manually classified this data into 10 categories which helps with clearer interpretation. The dataset was interpolated using the PRISM (Parameter-elevation Relationships on Independent Slopes Model) interpolation method, which combines point data with an underlying grid to produce gridded estimates of monthly and annual precipitation, temperature, and other climatic parameters.

To create the isarithmic map, I used ArcGIS and its tools. I imported and edited the data, selected appropriate color schemes and classification methods, and designed the final layout. This included adding essential map elements such as the title, legend, and scale bar to ensure clarity and readability.

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