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Showing posts with the label Applications in GIS

Module 6: Damage Assessment

This week I learned how to utilize ArcGis Pro to make out the pathway of a past hurricane, Hurricane Sandy, along the North East coast of the USA in 2012. Later, I was also able to assess structural damage on the coast of New Jersey from Hurricane Sandy.  Below you can see the map I created of Hurricane Sandy's pathway/timeline. If you look closely, you can see via the symbology what category storm Sandy was along its path along with information on its wind (mph) and pressure (barometer) information.  In the second part of the lab, I assessed the structural damage of Hurricane Sandy in a select area in New Jersey. I created a new point feature class and subsequent domain with categories no damage, affected, minor damage, major damage, and destroyed to categorize each parcel. After creating the points and designating their damage category, I analyzed the data future by determining what damage feel 0-100m, 100-200m, and 200-300m from the coast.  1.     ...

Module 5: Coastal Flooding

 For the first part of this module, I compared before and after pictures of the New Jersey coast, pre and post Hurricane Sandy. I created DEM's from lidar data to compare the before and after. Below, you can see the magnitude of erosion and accretion on the Jersey coast due to the Hurrican Sandy in 2012.  In the second portion of this lab, I created a storm surge impact model for Collier County, Fl. This was a very educational assignment and I learned a lot. We not only created a storm surge model for the coast of Florida, but we also did so utilizing both Lidar and USGS DEM data to compare accuracy. I first began by converting the Lidar layer to meters, and then reclassified both to only include data where the elevation is under 1 meter. I used the region group tool to clump together into one large area the land along the coast, and isolated it (via select by attributes) to only analysis this single large connected area. Lastly, converted that large area for both Lidar and US...

Module 4: Crime Analysis

 This was an interesting module, as I analyzed homicide data in 2017/2018 Chicago. I created three different hotspot analysis maps to anticipate homicide hotspots in Chicago year 2018 using data from 2017. After creating each map, I determined the accuracy of each map by comparing how large a map's hotspot area was to the actual crime density of 2018.  Beginning this portion of the assignment, I first made sure to change the environmental parameters to that of the city of Chicago boundaries.  Below I summarize all the technical steps I took to perform my analysis.  1)       Grid Overlay: a.        Spatial join Chicago grid and 2017 homicides b.       Select attributes greater than zero and make new layer c.        Select attributes in the top 20% and create a new layer d.       Dissolve layer into one polygon     ...

Module 3: Visibility Analysis

 This week for Module 3, I did four different training classes at ESRI.com regarding 3D data visualization and analysis. The first training [3D Visualization] taught me how 3D data is represented, different elevation types (on the ground, relative to the ground, absolute height), and how to convert 2D data to 3D via extrusion. Numerical data can be extruded an attribute as z-value to make it 3D using base, min, max, or absolute value of a certain attribute. In the appearance tab -> extrusion group -> choose the field. In our exercise I also used Extrusion Expression to “see the features more clearly.” (ESRI) Additionally in this training, I used different marker types for 3D data like a basic tree, to procedural markers that are more realistic and specific to an given location, fill symbols like grass, and procedural fills “for cities with a well-known architectural style, procedural fills can help create a realistic set of buildings, along with other common city features, ...

Module 2: Forestry and LiDAR

 This week we focused on LiDAR applications in forestry. Utilizing a .las point file of the Shenandoah National Park, downloaded from the Virginia Lidar application, we determined the height, density, and elevation of the forest area in grid N16_5807_20.  First, we created a DEM and DSM file in order to subtract the two files and determine the height of the forest. Here the DEM was the ground points, the DSM the non-ground points, and we used the MINUS tool to determine the height. Using the height file, I also created a chart to visualize the tree height distribution.  Secondly, we determined the biomass density of the forest. First, we converted the Ground and Vegetation LAS files to multipoint, and then to raster via the Point to Raster tool. Then we made the raster binary files, pulled from the original LAS files where the criteria were false, combined both the ground and vegetation files, and lastly divided the count file by the raster file.  Below are the origi...

Corridor Analysis

 In the final part of our first lab, we played the role of a Forest Ranger looking to model the movement patterns of the black bear between two protected areas of the Coronado National Forest in order to model a corridor. We looked at the characteristics: distance to roads, elevation, and land cover.  I used the following steps to create a corridor analysis.  Below is the final map.

Suitability Analysis

 In the first portion of Module 1, a land developer is looking at raw land and would like to determine if the land is worth looking further into. We looked at various characteristics of the land (landcover, soil, distance to roads/rivers, and slope) and provided the results in raster. Additionally, we weighted these characteristics in two different ways: equally at 20% each and at different weights with soil and landcover are weighted at 20%, slope at 40%, and distance to roads/streams 10% each.  Below you can see the final suitability analysis maps for each method.  Below are the steps I took to complete the analysis above. 

About Me

  My name is Eden Santiago Gomez and I am a student at UWF on the GIS Admin Masters path. I currently reside in the Tampa Bay area. I am very excited to be taking this class (GIS Applications) and learning how to directly apply all the GIS skills we have learned to current GIS applications. I work full time as an EA for a consulting company, where I hope to join their Spatial Analysis team in the future. Being in Florida I enjoy all the local outdoor recreational activities. I just went kayaking this past week at Rainbow River but forgot my sunblock and got sun poisoning! Oh my gosh! I didn't even know that was possible. :/  My story map is listed below. Check it out if you would like to learn about my favorite waterways in Florida that I have explored so far! :)  Story Map Best,  Eden Santiago Gomez