![]() You should write down these densities for later reference below. Low = 3 flakes / m 2, Med = 7 flakes/m 2, and High = 15 flakes/m 2. Here the density is determined from the C1_DENS field. For the purposes of this demonstration all the sites in Site_A have a minimum density of 1 flake per square meter. Start a new map in Arcmap and load two themes from the Callalli geodatabase.This exercise works with two different scales of raster data. Working with raster data is less intuitive than vector data for many users. The GoogleEarth and imagery, the Landsat scene, and the SRTM elevation data were examples of raster data. You’ve already worked with Rasters in this class in previous labs. With Raster data we are moving beyond the simple data management, cartographic applications of GIS into the more interesting realm of theoretical and analytical problems that you could not accomplish without a computer. Data is organized logically into layers or surfaces. Generally the rasters are thematically simple: one attribute value is shown varying across space. ![]() In archaeological applications a raster theme might include all artifacts of a particular class, such as obsidian flakes, across a space, or all the occupation areas from a particular time period. Examples include: elevation, vegetative cover, temperature, and barometric pressure. This data model is suitable for working with themes that consist of continuous values across spaces. Continuous data is represented in the form of cellular or “gridded point” in a GIS. ![]()
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