Python
Python is an open-source coding language that is very well equipped to handle the requirements of geoprocessing tools. It has become the coding language of choice for the ESRI platform. It has also proven to be compatible across the different computing platforms, suitable for large and small projects, and a stable coding language. The purpose of this blog will be to showcase a number of tools and workflows that Python has to offer. It will also showcase how these tools are used in real world settings, such as for the semester project of this class, examining sand mines in Trempealeau County. This post will be updated throughout the semester as new Python workflows are developed.
Trempealeau County Project, Clip, and Load
Below is the first workflow that was completed. The purpose of this script was to project, clip, and load the data that was acquired for the exercise to fit our area of interest, Trempealeau County. The green comments do not count towards the workflow and are merely to describe what each tool is doing.
Below is the first workflow that was completed. The purpose of this script was to project, clip, and load the data that was acquired for the exercise to fit our area of interest, Trempealeau County. The green comments do not count towards the workflow and are merely to describe what each tool is doing.
Discerning From Mines by Railways and Mines not by Railways
Below is the workflow needed to separate mines by status, type, and location in proximity to railways. This script was completed successfully and our result returned 41 mines in our final feature class. This will allow us to move forward in analyzing and better understanding the network between roadway transportation and trucks used to transport sand.
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