GIS 5100 - Module 1 Deliverable 15

Purpose: To determine the suitability of land for development based on 5 criteria, at different weighted values.
Process Summary: Land cover, soil type, proximity to rivers, proximity to roads, and degree of slope raster files are reclassified to reflect predetermined categories of rank from 1 to 5. Not all five layers will include a ranking in each 5 categories. These five outputs are combined to create a single ranking using the Weighted Overlay tool. This tool allows layers to be input, and their values assigned to a scale with specified number of values. In this case, the scale runs from 1 - 5. Each layer is set independently to match their value to reflect the scale, such as value of 1 matching scale 1, value of 5 matching scale value 5, and so on. The wieght of each criteria is assigned by percent out of 100. This process is done twice, creating two separate outputs. One output in which all criteria represent an equal weight of 20% each, the other assigning a greater percent value out of 100 to select criteria.
Outcome: Different areas of suitable and unsuitable land are determined when ranking criteria differently.

Comments

Post a Comment

Popular posts from this blog

GIS6005 - Module 1 San Francisco Bay Area, Point of Interest

Image
San Francisco Bay Area, Points of Interest Because this is a general reference map for public use, I opted for many preset font options available in ArcGIS Pro. This included default text options for water, sized appropriately for the significance of the body of water. The labels were placed on a bend to mimic the flow of the water and the shape of the shorelines. For land formations or parks, another preset font option was chose, the land formation option. Again, the text was placed on a curve to mimic the curve of the land feature being labeled. The font type for features that are populated places was also a font preset, the Populated Places option. Some resizing was done to make the label for San Francisco stand out from the other labels. The label for the bridge was also labeled using the populated places option, but sized smaller to fit along the narrow bridge. A couple callouts were used where the available land area was coastal and also too small to hold a label. The use o
Read more

GIS 5100 Module 2

Image
In this weeks module, LiDAR data is used and converted using several different methods to obtain information about tree height and canopy density in a grid section of Shenandoah, VA. Data transformation methods and tools include Minus, LAS to MultiPoint, IS NULL, Con, Plus, Divide, and data to raster tools for different data types. The input data is a LAS grid of Shenandoah obtained from Virginia LiDAR, and the outputs are raster datasets showing tree height, surface elevation, and canopy elevation. The following tools are used to determine tree height: The Minus tool is used to determine the difference in feature height from elevation and ground surface features which is useful in determining tree height.  The following tools are detailed as they are used to determine the biomass density of the grid patch.  LAS to Multipoint converts the LAS into a format more useful to analytics. This is performed on both the surface and vegetation datasets. IS NULL is used to identify t
Read more

GIS 5100 Module 6

Image
 This module was on conducting damage assessment on coastal flooding using ArcGIS Pro analysis tools. A case study of Hurricane Sandy is used. Using imagery and various analytic tools, a general assessment of structure damage caused by flooding and wind is conducted for an area in New Jersey.  Structures by structural damage level after Hurricane Sandy. Process summary: 1) 2 mosaic datasets are created, one for the study are before the storm and one for after, using aerial rasters. The mosaics are created within the gdb being used. The result are two projected aerial images with grids highlighting the study area. When turning on and off these two layers, damage such as flooding and missing buildings is apparent. 2) Within the gdb, new domains are created that will be used to categorize damage by type and severity. This is done by adding Domains under the gdb, and the categories for Inundation, Structure Damage, Wind Damage, and Structure Type are added alon with options for each domain
Read more