ArcGIS 3: Performing Analysis

Strictly by pre-registration only

What is this course about?

This intermediate GIS course is for experienced users of ArcGIS Desktop who want to focus on analysis. It teaches a standard workflow you can apply to any GIS analysis.

Every analysis begins with a question and has criteria that must be considered. You will learn how the analysis question and criteria drive decisions about what data and tools will generate reliable information. Working with a variety of data and ArcGIS tools, you will perform different types of analysis to efficiently solve spatial problems.

This course is taught using ArcGIS for Desktop Advanced and some course exercises use tools provided in the ArcGIS Spatial Analyst extension.

This course is for: GIS analysts, specialists, and others who manage or conduct GIS analysis projects.

Download course outline

Course details




2 days




Visualisation, Editing and Analysis Course

CPD points

Safety measures for training courses

While courses in our training facility have resumed, we want to assure you that the wellbeing of our trainees and staff remains Esri Singapore’s highest priority.

As the COVID-19 situation continues to develop, strict safety measures and guidelines as recommended by the Ministry of Health are being adhered to for all training conducted.

All computer equipment and desks are disinfected before class commences and during the lunch break, while seats are placed and marked at least 1-metre apart, in accordance with official Safe Distance Measures.

Masks are mandatory throughout training, and alcohol hand sanitisers and anti-bacterial wet wipes will be available.

Your temperature will be taken before commencement. For your safety, you will be asked to return home and see a doc if your temperature exceeds 37.5deg.

An isolation room has been prepared for trainees to rest in if they are feeling unwell and awaiting transportation.

Are there any prerequisites?

Completion of ArcGIS 2: Essential Workflows or equivalent knowledge is required.

What skills will I learn?

After completing this course, you will be able 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 analyse and visualise change over time
  • Share analysis workflows and results so they are accessible and repeatable

What can I expect?

  • Course topics

    GIS analysis workflow

    • Types of spatial analysis
    • Steps in the workflow
    • Options for sharing results

    Preparing data for analysis

    • Evaluating data quality
    • Correcting spatial reference issues
    • Sharing results as a map service

    Proximity analysis

    • Categories of proximity analysis
    • Choosing the right tool based on the required output
    • Measuring proximity: Geodesic or Euclidean?
    • Performing proximity analysis to plan emergency response activities

    Overlay analysis

    • Techniques and tools
    • Apportioning attributes
    • Performing overlay analysis to estimate tornado damage
    • Using model iterators and variables
    • Creating geoprocessing packages to share results

    Using raster data for suitability analysis

    • Binary and weighted suitability models
    • Suitability scales and levels of measurement
    • Reclassifying data
    • Determining the optimal location for a vineyard

    Analysing spatial patterns

    • Quantifying patterns using spatial statistics
    • Spatial statistics tools
    • Hot spot analysis
    • Building a model to analyse the distribution of public safety incidents
    • Sharing the model as a geoprocessing service

    Modelling temporal data

    • What is time-aware data?
    • Analysing patterns in temporal data
    • Working with animations and the time slider
    • Sharing results as an animated map service

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