Course: Geospatial Models and Representations | Z_GIS

  • General

    • Please post all suggestions and corrections for this module. Refer to specific sections whenever your posting applies to content of a specific section.

    • Learning Objectives (module level)

      • describe basic approaches to digitally representing real world features
      • work with increasing abstraction levels of data models with a focus on the ANSI-SPARC conceptual level
      • select adequate vector and/or raster representations depending on theme characteristics
      • distinguish and apply standard W*S services with an emphasis on open data / services 
      • understand architectures and purpose of Spatial Data Infrastructures and their main components
      • integrate standard services into simple web apps
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  • Instructions: Clicking on the section name will show / hide the section.

    • Learning Objectives 

      • set up a schema for feature data
      • digitize and edit feature data for topological consistency
      • fully describe and document a feature data set
      • perform a relational join connecting attribute tables with spatial features
    • Section overview 

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    • Only complete units 1 and 2 ('Vector Data'), then to be continued in the following section. If you want to complete exercises with ArcGIS Online (NO ArcGIS Pro needed!) search for NaturalMonuments, BikePaths and NatureReserves using the tag 'DEmodels'.

    • Need an element on creating a layer plus attribute schema

    • A practical exercise on importing and geocoding data from a .csv file, managing data and configuring views and access.

    • This course covers elements across this entire module, it is therefore recommended to complete it rather sooner than later wink

    • Tasks to complete this section

    • Check out these questions and exercises

    • Learning Objectives 

      • describe the distinction between imagery and thematic raster data, as well as spatially continuous vs. discrete themes
      • manage the conversion of vector (feature) data into raster representations
      • select correct approaches to resampling
      • understand spatial referencing and resolution characteristics of raster data
    • Section overview 

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    • An overview lecture. Should be used as a quick read, no need to dig deeper e.g. into file formats.

    • Tasks to complete this section

    • Check out these questions and exercises

    • Learning Objectives 

      • create a service from a feature layer and share it as a feature service 
      • create and share an image service 
      • explore and understand different types of W*S services
      • defining and creating view layers 
      • work with real time sensor data streams, e.g. via GeoRSS  
    • Section overview 

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    • Vector tile services offer the client user full control over selection of features and the styling of visualisation. Based on these, anyone can create their own (base)map from vector tile services!

    • Adjusting the appearance of a vector basemap to your overall design requirements.

    • Tasks to complete this section

    • Check out these questions and exercises

    • Learning Objectives 

      • create a feature service and collect data with a mobile app (QuickCapture)
      • design and define a spatially anchoraged survey and/or field data acquisition (Survey123 or Field Maps)
      • visualize and share results with a simple instant app 
      • manage updating of feature details through an app
    • Section overview

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    • Read this chapter from 'The ArcGIS Book' to get some ideas for app development and to further understand the wider context of our work.

    • Optional, if you plan to work with Field Maps. This course presents a six-step workflow to prepare for and conduct field data-collection activities using ArcGIS Field Maps. In this course, you will create and configure an editable layer, map, and data-collection form. You will then use these items to collect data with the Field Maps mobile app.