Geospatial data are an important component data visualization and analysis in the social sciences, humanities, and elsewhere.
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Geospatial data are an important component data visualization and analysis in the social sciences, humanities, and elsewhere.
Raster data are used to represent geographic phenomena that are present and can be measured anywhere in a study area, like elevation, temperature, rainfall, land cover, soil type, etc.
Geospatial data are an important component of social science and humanities data visualization and analysis.
Geospatial data are an important component of social science and humanities data visualization and analysis.
Geospatial data are an important component of social science and humanities data visualization and analysis.
Geospatial data are an important component of social science and humanities data visualization and analysis.
Students will learn about the different ways in which entities in the real world are represented as geographic data.
Raster data are used to represent geographic phenomena that are present and can be measured anywhere in a study area, like elevation, temperature, rainfall, land cover, soil type, etc.
Geospatial data are an important component of social science and humanities data visualization and analysis.