ArcGIS Spatial Analyst

Strictly by pre-registration only

What is this course about?

Attendees will get to learn how to create, query, map, and analyse cell-based raster data; perform integrated raster/vector analysis; derive new information from existing data; query information across multiple data layers; and fully integrate cell-based raster data with traditional vector data sources.

This course is for: ArcGIS users and GIS Analysts who want to perform advanced analysis using integrated vector/raster data with modeling capabilities.

Download course outline

Course details


1,440.00 SGD




3 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 3: Performing Analysis or equivalent knowledge is required.

What skills will I learn?

After completing this course, you will be able to:

  • Perform terrain analysis, hydrological analysis and statistical analysis
  • Know how to create surface modeling and surface interpolation
  • Able to derive suitability models
  • Have the knowledge to perform image classification

What can I expect?

  • Course topics

    Raster concepts

    • Features as raster
    • Raster coordinate systems and registration
    • Raster resolution
    • Raster resampling
    • Raster cell values and attribute tables
    • Raster zones and regions
    • Raster and Image formats
    • Analysis environments

    Building a raster database

    • Data sources
    • Raster management tools
    • Raster compression
    • Merging rasters
    • Raster in geodatabases
    • Image formats
    • Pyramids and Statistics
    • Raster rendering
    • Raster conversion tools
    • Projecting rasters
    • Geometric transformation tools
    • Georeferencing
    • Rectification

    Map algebra

    • Raster calculator
    • Expressions and operators
    • ModelBuilder
    • Spatial analyst commands
    • Functions
    • Working with NoData

    Raster processing tools

    • Extract and sample
    • Aggregate
    • Block statistics
    • Expand and shrink
    • Boundary cleaning
    • Thinning
    • Filtering
    • Nibbling
    • Region grouping

    Interpolation tools

    • Creating surfaces
    • Terrains
    • Linear interpolation
    • Collecting samples
    • Controlling sample points
    • IDW
    • NN
    • Spline
    • Trend
    • Kriging
    • Topo to raster
    • Barriers
    • Surface testing
    • Feature density estimation

    Surface analysis tools

    • Sources of topo data
    • Surface conversion
    • Contour and curvature
    • Slope and aspect
    • Hillshade
    • Visibility analysis
    • Viewshed
    • Observer Points
    • Controlling visibility
    • Solar radiation tools

    Hydrology tools

    • Hydro data model
    • Surface hydrology tools
    • Topo surfaces
    • Sinks identification and filling
    • Streams order and link
    • Stream to feature
    • Basins and watersheds
    • Flow tools
    • Rain trace
    • Groundwater hydrology
    • Particle track tool
    • Porous puff tool

    Distance tools

    • Euclidean distance
    • Euclidean direction and allocation
    • Weighted distance measurement
    • Cost surface
    • Travel costs
    • Calculation and accumulation of travel costs
    • Backline
    • Allocation
    • Path distance tools
    • Finding cost paths
    • Corridor

    Building models

    • Modelling spatial problems
    • Types of models
    • Binary suitability models
    • Weighted suitability models
    • Methodology and submodels
    • Data types and math
    • Scale and measures
    • Suitability and weights
    • Reclassification
    • Reclassify with equations
    • Weight and combine
    • Weighted overlay
    • Best locations
    • ModelBuilder

    Classification tools

    • Multivariate toolset
    • Image classification
    • Data exploration
    • Exploring source data
    • Land cover classification
    • Band collection statistics
    • Electromagnetic spectrum
    • Clusters and classes
    • Signature file
    • Supervised classification
    • Unsupervised classification
    • Analyse and editing signatures
    • Class relationship
    • Calculating class probability
    • Finalising and applying classification

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