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GIS102C: GIS Analysis

This course teaches a standard workflow you can apply to any spatial analysis project. Working with a variety of ArcGIS tools and data, you will perform different types of analyses to efficiently create reliable results that support informed decision making. This course is taught using ArcGIS for Desktop Advanced and some course exercises use tools provided in the ArcGIS Spatial Analyst extension.

    • Format: Instructor-Led Offline or Online Course
    • ArcGIS Version used in Training: 10.2
    • Online Mode:
      • Duration:  Total : 18 hrs appx.
        • Theory: 4 hrs = 4 days [ 4 Saturdays ( 1 hour per lecture per Day  ) ]
        • Practical: Exercises will be provided for hands on with software which students will do in their time and can discuss the doubts in group session or individual sessions as convenient. ( appx 8 hrs hands on material)
        • Doubt clearing session for each exercise will be conducted ( appx. 4 hours total )
        • Additional 1 to 1 one session will be conducted with each student upto 1 hrs at their convenient time, if requested by student.
      • Custom schedule can be developed after discussion with the student based upon their needs.
      • Price:  INR 12,000/-    
    • Classroom Mode:
      • Duration:  2 Days ; 8 hrs/day.
        • Practical: Exercises will be provided for hands on with software which students will follow during the training with assistance provided by instructor.
        • Custom schedule can be developed after discussion with the student based upon their needs.
        • Price:  INR 16,000/-    

    Audience

    • GIS analysts, specialists, and others who manage or conduct GIS analysis projects.


    Prerequisites


    Completion of GIS102B or equivalent knowledge is required


    Detailed Course content


    Contact Us.

    Learn how to  

    • Choose appropriate data, methods, and tools to plan, execute, and document a given analysis project.
    • Automate analysis tasks using geoprocessing models.
    • Create a weighted suitability model to select the optimal location for a new site.
    • Apply spatial statistics to examine distribution patterns and identify hot spots.
    • Model temporal data to analyze and visualize change over time.
    • Share analysis workflows and results so they are accessible and repeatable.

    Desktop Site