1. Update Features and Analysis in Arcpy

    Arcpy generated Point Feature Data from Ground water contamination, PFAS chemical levels and MNPCA clean up activity sites

    • Multiple Shapefile data sources access programmatically online and converted to points in Arcpy, then mapped with ArcGIS pro

    What is Arcpy?:

    Arcpy is a Python library for automating GIS tasks in Arc GIS Pro

    • Collection of modules, functions, and classes from the ArcGIS toolbox
    • It allows you to perform geoprocessing, analysis, data management and mapping automation using python
      • read more

  2. QC and Join data in Arcpy

    Obsidian-generated flow chart depicting steps of an Arcpy spatial data QC and join

    • Flow chart of a workflow to prepare two datasets for spatial join
    • The analysis includes checks for unique ID fields and duplicate geometry

    What is Arcpy?:

    Arcpy is a Python library for automating GIS tasks in Arc GIS Pro

    • Collection of modules, functions, and classes from the ArcGIS toolbox
    • It allows you to perform geoprocessing, analysis, data management and mapping automation using python
      • read more

  3. What is ArcPY? Part3

    Arcpy generated Point Feature Data from Ground water contamination, PFAS chemical levels and MNPCA clean up activity sites

    • Multiple Shapefile data sources access programmatically online and converted to points in Arcpy, then mapped with ArcGIS pro
    • Shown below is a dashboard of these data for the latest sampling dates where contamination data is grouped by city/township

    What is Arcpy?: Part 3

    Reminder: Arcpy is a Python library for automating GIS tasks in Arc GIS Pro

    read more

  4. List and Dictionary Comprehension, Cartopy

    Introduction to List Comprehensions

    • Definition
      • List comprehensions are a concise and efficient way to create lists in Python
      • They provide a syntactically elegant method to perform operations and apply conditions to iterables, allowing the creation or transformation of lists in a single line of code

    Why Do We Use List Comprehensions?:

    • Conciseness: Reduces the amount of code needed compared to traditional loops, making the code cleaner and easier to read
      • read more

  5. List and Dictionary Comprehension, Cartopy

    Introduction to List Comprehensions

    • Definition
      • List comprehensions are a concise and efficient way to create lists in Python
      • They provide a syntactically elegant method to perform operations and apply conditions to iterables, allowing the creation or transformation of lists in a single line of code

    Why Do We Use List Comprehensions?:

    • Conciseness: Reduces the amount of code needed compared to traditional loops, making the code cleaner and easier to read
      • read more

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