Environmental modelling and GIS

Anastasia Sarelli
Sep 2, 2018 · 3 min read

Did you have a problem to solve regarding its social or economic impact on a specific area of interest? Did you ever have a methodology to implement with spatially distributed data? Or have you ever needed to take a decision having lots of data but didn’t know how to extract the proper information?

One solution to all of the above issues is this:

Spatial Data Modelling.

Day after day the available datasets and geo-information that contribute to the implementation of spatial modelling are increasing enormously. The optimum way to visualize them is through a Geographic Information System -or most commonly, GIS - platform either as vector or raster data, depending their nature. For example, data that represent specific entities, e.g. view points on a hiking path, hydrological network or lakes can be visualized as points, lines or polygons respectively (depending also from the scale of the visualization). Whereas, the best way to represent continuous data is in a raster format (e.g. temperature, precipitation, topography, etc)

Focusing on the environment, there are several datasets that usually need to be modelled, either for an overall spatial analysis of a specific problem, or just for a better visualization and understanding of what is represented.

In environmental modelling, since the environment is a complex composite of different interconnected variables, we have to be aware of these different components or, in a GIS, these ‘layers’.

One essential parameter for environmental problem-solving is the topography of an area. In order for the topography to be modelled, two products are mostly used: contours and Digital Elevation Model (DEM).

The next step is the terrain analysis and visualization. This can be achieved by extracting the hillshade, slope and/or aspect of our study area.

One course that includes all of the above with the theory behind and useful methodologies, tutorials and examples is the:

“Environmental Modelling and Analysis in GIS”

Тhis course will introduce you to the most common ideas of spatial modelling in the context of working with data for the environment. You’ll be able to see examples of analysis performed in ArcGIS and download the data to exercise yourself. It was specially prepared and contains DEM, vector layers and everything needed for better understanding how all mentioned tools work.

Environmental modelling and analysis in GIS course will show you the basic ideas of spatial modelling and the most important steps you have to follow to create the best model in GIS. You will be able to see and perform on your own different analysis by using spatial data — elevation, slope, aspect, etc. You will also learn how to create hydrologically correct terrain model by using vector data and how to understand which territories you can observe while standing at one particular point. Different types of environmental data are going to be demonstrated in order to better understand how to perform the best modelling into GIS.

All you need to know before taking this course is a basic understanding of GIS, vector and raster data, geometry and attributes.

So, if the answer was yes to any of the questions in the beginning of this article, then this course is the right for you. Just check out the lessons of the course and enroll now!

What will you learn?

  • Spatial Modelling
  • Contours and DEM processing
  • Hillshade visualisation
  • Terrain Modelling
  • Terrain Analysis
  • Slope, Aspect, and Viewshed analysis

Any prerequisites?

  • Basic GIS knowledge
  • Passion to learn geospatial modelling

Student Profile?

  • Under/post graduate students
  • Professionals and Companies
  • Master students and PhD candidates
  • Researchers and Academics

Need more information?

E-mail here: info@geo.university

GEO University Learning Content

A series of articles presenting the GEO University online courses

Anastasia Sarelli

Written by

Earth Observation / Remote Sensing

GEO University Learning Content

A series of articles presenting the GEO University online courses