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.

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

Course details

Price

1,440.00 SGD

Location

Singapore

Duration

3 days

Level

Advanced

Category

Visualisation, Editing and Analysis Course

Are there any prerequisites?

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

    • Modeling 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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