Concepts and Methods of Embedding Statistical Data into Maps
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