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Geographical Information Systems - Part 2
Coursera MOOC / Non-credit 0

Geographical Information Systems - Part 2

About this course

This course is the second part of a course dedicated to the theoretical and practical bases of Geographic Information Systems (GIS). It offers an introduction to GIS that does not require prior computer skills. It gives the opportunity to quickly acquire the basics that allow you to create spatial databases and produce geographic maps. This is a practical course that relies on the use of free Open Source software (QGIS, Geoda). In the first part of the course (Geographical Information Systems - Part 1), you explored the basics of land digitization and geodata storage. In particular, you learned how to: - Characterize spatial objects and phenomena (spatial modeling) from the point of view of their positioning in space (coordinate systems and projections, spatial relationships) and according to their intrinsic nature (object or vector mode vs. image or raster mode); - Use various data acquisition methods (direct measurement, georeferencing of images, digitization, existing data source, etc.); - Use various geodata storage methods (simple files and relational databases); - Use data modeling tools to describe and implement a database; - Create queries in a query language and data manipulation. The second part of the course deals with spatial analysis methods and georeferenced information representation techniques. In particular, you will learn how to: - Analyze the spatial properties of discrete variables, for example by quantifying spatial autocorrelation; - Work with continuous variables (sampling, interpolation and construction of isolines) - Use digital elevation models (DEMs) and their derivatives (slope, orientation, etc.); - Use geodata superposition techniques; - Produce cartographic documents according to the rules of the semiology of graphics; - Explore other forms of spatial representation (interactive cartography on the internet, 3D representations, and augmented reality). The page https://www.facebook.com/moocsig provides an interactive forum for participants in this course.

B

81/100

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What you'll learn

  • Analyze the spatial properties of discrete variables and quantify spatial autocorrelation
  • Work with continuous variables, including sampling and interpolation techniques
  • Utilize digital elevation models (DEMs) and their derivatives
  • Employ geodata superposition techniques
  • Create informative cartographic documents according to graphic semiology rules

Course objectives

  • Develop skills in spatial analysis methods and georeferenced information representation
  • Improve ability to create and manipulate GIS databases
  • Enhance understanding of various data representation techniques, including 3D and interactive cartography
Data Analysis #gis #spatial analysis #cartography #spatial data #qgis #data representation #geographic maps #digital elevation models #georeferencing #spatial modeling #interactive cartography
$49.00

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