Module 5 - Part 1 : Suitability Analysis

 This project evaluated land suitability for future development using weighted overlay in ArcGIS Pro. Five criteria were considered: land cover, soils, slope, distance to rivers and distance to roads. Each criterion was reclassified to a common suitability scale of 1-5 before being combined using the weighted overlay tool.  Two models were compared : one with equal weights assigned to each criterion and a second that emphasized slope by assigning it 40% influence. Comparing the two outputs demonstrated how changing criterion weights can substantially alter which areas are identified as the most suitable for development. 



Comments

Post a Comment

Popular posts from this blog

Module 3: Error Handling and Debugging

Image
 Module 3 focused on debugging Python scripts. The lab taught me how to identify syntax, runtime and file path-related errors while improving my understanding of troubleshooting techniques and exception handling. Three scripts were successfully debugged.  Script 1  For the first script, I first received a name error stating that ‘fc’ is not defined. To fix this, I changed it to ‘FC’. The second error I received was another Name error stating that field is not defined. To fix this error, I switched ‘fields’ to ‘field’. The script then ran successfully, as shown above. Script 2  The first error received on the second script was a syntax warning on line 15, saying there was an invalid escape sequence (/p). To fix this, I simply fixed the backslash to the proper form. The second error was a name error on line 14, stating that ‘Filepath’ was not described. To fix this, I just had to change ‘Filepath’ to ‘filepath’ because Python is case-sensitive. The third error encounte...
Read more

Module 2: LiDAR

Image
   This lab used LiDAR data to create a Digital Elevation Model (DEM), Digital Surface Model (DSM), forest height raster, and canopy density map. LiDAR point clouds were converted into raster datasets, and spatial analysis tools were used to calculate vegetation height and canopy density. The resulting maps and histogram illustrate the distribution of forest structure and demonstrate how LiDAR can be used to assess terrain and support forest management and conservation efforts. 
Read more

Module 6: Geometries

Image
 In this module, I worked with geometry objects and nested loops in Arcpy to extract vertex information from a shapefile. The objective was to access the geometry of river features, iterate through every vertex, and write the coordinate information to a txt file.  I began the script by creating a Search Cursor for the rivers shapefile and accessing the OID, geometry and river name fields. Because the geometry object contains arrays of vertices, I used loops and the getPart() method to access each point that makes up a river feature. As the script iterated through the vertices, it assigned a vertex ID, printed the information and wrote the feature OID, vertex ID, X coordinate, Y coordinate, and river name to the created txt file. The results of the script:  This assignment helped me better understand how geometry objects are structured in GIS datasets. I learned how loops are used to move from features, to arrays, to individual vertices and how the getPart() method simplif...
Read more