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University of California, Davis vía Coursera
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GIS Data Formats, Design and Quality

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  • Course Overview & Data Models and Formats
    • This first module covers major concepts in vector and raster data models, scale, designing data tables, using vector attribute tables, and separating and joining data in order to use it more effectively in a relational database.
  • Creating and Working with Vector Data
    • This module is all about working with vector data. We'll review geoprocessing and introduce the intersect tool. This module also covers writing query strings to subset data, adding and calculating fields, configuring selections, editing and creating feature classes, and everything you need to know about digitizing data.
  • Storage Formats and Working with Rasters
    • This module covers choosing data storage formats for particular purposes as well as tools for working with rasters. In the first lesson, we'll discuss geodatabase design and go over considerations for file geodatabases, personal geodatabases, shapefiles, and SQLite databases. The second lesson covers creating and working with raster data. We'll talk about spatial analysis, georeferencing rasters, raster calculator, and using zonal statistics.
  • Data Quality and Creating Web Maps
    • The first half of this module goes over uncertainty and data quality, including a lecture on topology, which affects data relationships in your vector feature classes. In Lesson 8, guest lecturer Megan Nguyen will talk all about using ArcGIS Online, including sharing our maps with our colleagues.