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Showing posts from September, 2024

M2.1: TINs and DEMs

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 This week, I explored various techniques for creating, extracting, manipulating, and analyzing TINs and DEMs. One of the tools that we used, the "Spline" tool, was used to create a DEM from the given elevation data points. Afterward, I created contour lines using the resulting DEM with the "Contour" tool. The image shown below is the final result.

M1.3: Assessment

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 For this lab assignment, we were to complete an accuracy assessment of the road network data from two different sources for Jackson County, Oregon to determine their completeness. My methods to complete this task were as follows: 1.      I started by using the “Pairwise Intersect” tool for each of the road shapefiles to isolate each of the road segments within the grids 2.      Within the attribute table of the two new shapefiles the previous step created, I added a new field and used the “Calculate Geometry” tool to get the length of each road segment in kilometers. 3.      I then used the “Summary Statistics” tool for each shapefile to combine the lengths of each road segment based on their grid code. 4.      I used the “Join Field” tool to join the two resulting measurement fields to the grid attribute table to compare them. 5.      I created a new field in the grid attribute table called “comparison” an...

M1.2: Data Quality Standards

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This week I completed a data quality standards assessment using the National Standard for Spatial Data Accuracy to measure and report geographic data quality as described in the Positional Accuracy Handbook. In the two provided street maps, I selected 20 points at various intersections and their matching counterparts. Afterward, I put a point where the intersection should have been for each intersection point. I then populated the attribute tables with their x and y measurements in decimal degrees. After I had all of the x and y points I filled in the horizontal accuracy statistic worksheet as shown in the worksheet and completed the formal accuracy statement. Figure 1. The 20 intersections selected for the assessment. Formal Accuracy Statement: o    Horizontal Positional Accuracy: §   Using the National Standard for Spatial Data Accuracy, the ABQ_Streets data set was compiled to meet 4.39067E-05ft and 0.001008426ft for the StreetMapUSA data set horizontal accuracy at 95%...