Using ArcGIS for Mining Geoscience Workflows

Strictly by pre-registration only

What is this course about?

Esri Indonesia’s training course especially designed for professionals in the mining industry. 

This course introduces ArcGIS workflows that support early-stage mining and geoscience processes, with a particular focus on mineral exploration and geospatial data management. The training will be delivered primarily using ArcGIS Pro as the core GIS platform. Participants will gain confidence in using its key tools and extensions to streamline geoscientific workflows, perform spatial analysis, and apply data modeling and visualization techniques that support early mining activities and informed planning.

Course details

Price

IDR17.400.000,00

Location

Jakarta

Duration

3 days

Level

Intermediate

Category

Visualisation, Editing and Analysis Course

CPD points

*price exclude Tax

Software

Esri Indonesia will provide the following software to use during class:

  • ArcGIS Pro
  • ArcGIS Analysis Tools
  • ArcGIS Spatial Analyst Tools
  • ArcGIS Spatial Statistics Tools
  • ArcGIS Online

Are there any prerequisites?

Completion of Introduction to GIS Using ArcGIS or equivalent knowledge is required.

What skills will I learn?

  • Locate, create, and share geoscience data and maps
  • Manage geospatial data using a geodatabase
  • Edit and update geodatabase data
  • Optimize visualization with labels, symbology, and map layouts
  • Solve spatial problems using the analysis workflow, geoprocessing tools, and models

What can I expect?

  • 1. Answering mining science questions with GIS
    • What is spatial analysis?
    • Analysis workflow 
  • 2. Data sources
    • Exploring spatial data storage formats
    • Elevation data
    • Raster data
    • Online data sources
    • Exercise 2: Collect and assemble data
  • 3. Coordinate systems and georeferencing
    • How spatial data stores location
    • Geographic coordinate systems
    • Projected coordinate systems
    • Spatial properties and distortion
    • Sphreoids and datums
    • Importance of geographic transformation
    • Feature datasets and feature classes
    • Exercise 3: Choose and define a coordinate system
  • 4. Organizing data in a geodatabase
    • What is a geodatabase?
    • Geodatabase elements
    • Geodatabase functionality
    • Creating geodatabase schemas
    • Populating the geodatabase
    • Organizing data in the geodatabase
    • Exercise 4: Populate a geodatabase with data
  • 5. Geodatabase behavior
    • Attribute domains
    • Subtypes
    • Why use geodatabase topology?
    • Topology workflow
    • Topology workflow: Design
    • Exercise 5: Create geodatabase behaviors
  • 6. Creating and editing data
    • Feature creation techniques
    • Feature creation workflow
    • Topology editing workflow
    • Exercise 6A: Edit geological features
    • Exercise 6B: Edit coincident boundaries
  • 7. Vector data analysis
    • What is spatial analysis?
    • Spatial analysis workflow
    • Questions you can answer with GIS
    • Ways to perform analysis
    • Proximity and overlay analysis
    • Exercise 7A: Perform vector analysis
    • Exercise 7B: Perform overlay analysis
  • 8. Pattern analysis
    • What are spatial pattern?
    • Mean center
    • Standard deviational ellipses
    • Working with data distributions
    • Average Nearest Neighbor (ANN)
    • Spatial Autocorrelation (SA)
    • Hot spot analysis
    • Exercise 8: Use spatial statistics to explore data
  • 9. Creating surfaces for analysis
    • What are surfaces?
    • Creating surfaces by interpolation
    • Deriving surfaces
    • Density surfaces
    • Exercise 9: Create raster surfaces
  • 10. Raster data analysis
    • What is raster overlay?
    • Examples of raster analysis
    • Weighted overlay workflow
    • Reclassification
    • Assigning weights
    • Exercise 10: Perform suitability analysis using ArcGIS
  • 11. Visualizing and interpreting analysis results
    • What is symbology?
    • What are labels?
    • What is annotations?
    • Qualitative and quantitative symbology
    • Classifying geographic data
    • Controlling when layers display
    • Creating basemap layers
    • Symbolizing raster data
    • Exercise 11A: Display data in ArcGIS Pro
    • Exercise 11B: Symbolize and label oriented structural points
  • 12. Sharing analysis results
    • Discover – use – make – share workflow
    • What is a map layout?
    • Workflow: Creating a map layout
    • Data-driven pages
    • Exercise 12: Make a map layout