Using Custom Base Maps In Climate Engine

Using Custom Base Maps In Climate Engine Virasith Phomsouvanh This short demo video highlights how to use custom base maps in climate engine to assess vegetation changes related to a wildfire in great basin national park in nevada, usa in 2016. Your map can be customized in a variety of different ways. from the panel at the top, you can modify the color scale, change the base map, or add layers to better visualize map boundaries.

Partnerships Climateengine Org Custom base maps. To get started, click the “base maps” dropdown in the app, under “custom base map” select the layer, select the year for the data (if applicable), and adjust transparency for visual. The new categorical raster masking functionality applies to both maps and graphs made in climate engine and allows users to subset their computed map layers and timeseries analysis based on categorical datasets such as land ownership, landcover, or wetland types. In this panel, there are 4 choices to make to obtain a map with climate engine. first, you need to select a product. second, you need to select the kind of processing to perform on the dataset. third, you have the option to pick a mask. fourth, you need to select a time period of interest.

Climate Engine Api Climateengine Org Support The new categorical raster masking functionality applies to both maps and graphs made in climate engine and allows users to subset their computed map layers and timeseries analysis based on categorical datasets such as land ownership, landcover, or wetland types. In this panel, there are 4 choices to make to obtain a map with climate engine. first, you need to select a product. second, you need to select the kind of processing to perform on the dataset. third, you have the option to pick a mask. fourth, you need to select a time period of interest. In this panel, there are 4 choices to make to obtain a map with climate engine. first, you need to select a product. second, you need to select the kind of processing to perform on the dataset. third, you have the option to pick a mask. fourth, you need to select a time period of interest. All of these steps fit into a 10 minute mapping charting workflow, letting users go from data to visualization, insight, and story telling with no heavy data wrangling required. In the demo video, learn how to toggle the new basemap layers alongside trend maps in tree cover from rcmap (rangeland condition monitoring assessment and projection) for an area that burned in. We started dig into this question by seeing the differences in the datasets across a basin plotting climatologies tutorial. that allowed us to visualize the differences in values between datasets and see which datasets matched other data sources the best.