GIS 5935 LAB 1.3

 The goals of this week's lab were to determine the completeness of road networks and summarize the analysis in textual, visual and numerical terms. Beginning with the readings for this module, one particular reading/study that interested me "A comparative study of OpenStreetMap and Ordnance Survey datasets" which followed the outline of this weeks lab for comparing the accuracy of roadway mapping. In this reading, crowdsourcing was defined as a benefit to the GIS community, with an ability for "large groups of users [to] perform functions that are either difficult to automate or expensive to implement" in regards to applications of GIS (Howe, 2006). However, also mentioned was the possible downsides of crowdsourcing - inaccurate information. Both this week's lab and this reading touched on a similar subject of how to analyze data for completeness. The steps I took in order to identify roadway accuracy in a grid system was first, I used the geoprocessing tool Clip to clip both the Street Centerlines and Tiger Roads to the Grid layer, in order to remove any roads outside the grid. After that, I added a new field in the attribute table for NewLength, and calculated the geometry attributes for the new lengths in kilometers. Once that step was completed for both files (Street Centerlines and Tiger Roads), I used to summarize statistics for the NewLength fields. This process provided me with numerical results of accuracy for both roadway data files (Street Centerlines and Tiger Roads). The final result was a high resolution map to serve as a visual in conjunction with the text and numerical results.

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