Goals and Objectives
In Exercise five we are to gain knowledge with downloading data from multiple websites, importing the data into ESRI ArcMap, and join it with tables. We are also to become more familar with using Python script to project, clip, and load all of our downloaded data into a geodatabase of our choosing. See previous post for the Python script used in this lab.
Methods
In this lab we have to visit multiple websites to download different data sets to be used in our labs. The first data set we downloaded was from the United States Department of Transportation (DOT). This was to gain access to the railways of the United States. We would later clip these railways down to just the ones in Trempealeau County. The second set of data was downloaded from the USGS National Map Viewer. We downloaded both the National Land Cover Database and National Elevation Dataset. Both downloads of Trempealeau County. The next data set was downloaded from USDA Geospatial Data Gateway. The data gathered from this site was the Cropland data. Next set was downloaded from the Trempealeau County land records. We downloaded an entire geodatabase from this website. Lastly, we downloaded the Soil Survey from the USDA NRCS Web Soil Survey.
Part two of this lab was to write a Python script to project, clip, and load our data into a geodatabase. See Exercise 5-Python Script for more information or the script used.
CONCLUSION
When working with this data one thing to watch out for is to make sure you extract everything you need to extract. I forgot to do the double extraction and found myself wondering around trying to find something I never downloaded.
Websites for gathering data
Railway Network Data
http://www.rita.dot.gov/bts/sites/rita.dot.gov.bts/-files/publications/national_trasportation_atlas_database/index.html
Landcover Data
http://nationalmap.gov/viewer.html
Landuse Data
http://datagateway.nrcs.usda.gov/
Geodatabase Data
http://www.tremplocounty.com/landrecords/
Soil Data
http://websoilsurvey.sc.egov.usda.gov/App/HomePage.htm
