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Arccgis skills
 Query a GIS database to gain information and locate features on a map.
 Understand different types of spatial relationships among real-world features.
 Use analysis tools to create new data.
 Apply a standard approach to solving geographic problems.
 Use online resources to quickly create a GIS map.
 Describe two common data models used to represent real-world objects and
phenomena in a GIS.
 Evaluate geographic data for use in a GIS mapping project.
 Explore a GIS map and access information about map features.
 Visually analyse feature relationships and patterns on a GIS map.
 Create queries to find and select features that meet specific criteria.
 Prepare a GIS map to share information and present analysis results.
 Use new ArcMap features, including the embedded Catalog window, symbol
search, and basemap layers.
 Add dynamic text to a map layout.
 Use Data Driven Pages to create a map series.
 Edit features with feature templates.
 Edit attributes in the Attribute window.
 Describe what spatial data are and how information is derived from them.
 Assess the nature of spatial data and techniques of spatial autocorrelation,
sampling, and interpolation.
 Understand how uncertainty in spatial data is propagated through the
conception, measurement, and analysis of geographic phenomena.
 Visualize, query, and measure spatial and attribute data.
 Perform spatial overlays, interpolation, and density estimations in order to
transform spatial data into meaningful information.
 Conduct optimization studies with spatial data to identify desired point
locations and routes.
 Assess uncertainties associated with spatial data.
 Determine where to write and run a Python script.
 Differentiate Python language elements and determine where to apply them.
 Follow a script workflow.
 Develop a Python script to run statements and functions.
 Solve common syntax error

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Arccgis skills

  • 1. Arccgis skills  Query a GIS database to gain information and locate features on a map.  Understand different types of spatial relationships among real-world features.  Use analysis tools to create new data.  Apply a standard approach to solving geographic problems.  Use online resources to quickly create a GIS map.  Describe two common data models used to represent real-world objects and phenomena in a GIS.  Evaluate geographic data for use in a GIS mapping project.  Explore a GIS map and access information about map features.  Visually analyse feature relationships and patterns on a GIS map.  Create queries to find and select features that meet specific criteria.  Prepare a GIS map to share information and present analysis results.  Use new ArcMap features, including the embedded Catalog window, symbol search, and basemap layers.  Add dynamic text to a map layout.  Use Data Driven Pages to create a map series.  Edit features with feature templates.  Edit attributes in the Attribute window.  Describe what spatial data are and how information is derived from them.  Assess the nature of spatial data and techniques of spatial autocorrelation, sampling, and interpolation.  Understand how uncertainty in spatial data is propagated through the conception, measurement, and analysis of geographic phenomena.
  • 2.  Visualize, query, and measure spatial and attribute data.  Perform spatial overlays, interpolation, and density estimations in order to transform spatial data into meaningful information.  Conduct optimization studies with spatial data to identify desired point locations and routes.  Assess uncertainties associated with spatial data.  Determine where to write and run a Python script.  Differentiate Python language elements and determine where to apply them.  Follow a script workflow.  Develop a Python script to run statements and functions.  Solve common syntax error