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E-GEO260 Introduction to geographic information systems

This course aims to prepare students to read, understand, interpret, and create maps and other products from maps for geoscientific purposes.

Publisert: Endret:
Fact
ECTS

10

Level

Bachelor

Teaching metods

Online

Next course

Spring 2021

Deadline

02.01.2021

Course fee

12 000,- + semester fee

I find mapping to be a powerful tool for decision-making, and this course is a first step in preparing you for using maps and spatial analysis. This course is self-paced so that it can be flexible with your schedule.

Lecturer Lisa Watson

Content

At the end of the semester, students should have an understanding of what it means to create a map. This course is intended to be beneficial for basic cartographic applications.

Specific objectives

  • reading, understanding, and interpreting maps
  • reading and understanding scientific literature
  • writing scientific summary of work
  • basic understanding and use of geographic information systems
  • ability to use and understand basics of GPS
  • solve basic spatial problems using Python
  • present work in a scientific manner.

Course dates

The course will be in the period 15.01.2021 - 01.06.2021

There will be an online meeting 15th of January 2021 10.30.

The exam report can be delivered in Norwegian.

Course Materials

Required materials:

  • Course reading and labs loaded on Canvas as pdf
  • E-lectures via Canvas Studio
  • QGIS open source and free software

Course Policies

  • The course load is equivalent to approximately 10 hours per week.
  • Readings and e-lectures provide appropriate background for exercises.
  • A weekly virtual meeting via Zoom will be held in order to provide support and answer questions.
  • Course communications will be via email and Canvas. It’s up to you to make sure your email is set up correctly with the University.
  • There is no exam for this course.
  • The course follows a self-paced format. All assignments can be handed in early; feedback will be given as appropriate throughout the semester.

Grading

  • Test – 20%
  • Cartography report – 35%
  • Mapping project - 45%



Schedule

GIS and mapping for geoscience (i.e. What is this course about?)

  • E-lecture
  • Course information
  • Assign cartography report
  • Group project assignment explained
  • Groups assigned

History of mapping

  • E-lecture
  • Reading: “Basic concepts, parts 1, 2, and 3”

Geodesy and Projections, Coordinate reference systems, datums, and map scales

  • E-lecture o Reading: “Basic concepts, parts 4, 5, 6, and 7”
  • Lab: Projections, CRS, and scales

Data organization and structure

  • E-lecture
  • Reading: “Organization, parts 1, 2, and 3”
  • Lab: Organizing data and understanding data structures

Remote sensing

  • E-lecture
  • Reading: “Organization, part 4”
  • Lab: Import lidar data to GIS

GPS

  • E-lecture
  • Reading: “Organization, part 5”
  • Lab: Geocaching and importing GPS data to GIS
  • Downloading data
  • E-lecture
  • Reading: “Organization, parts 6”
  • Lab: Find and evaluate online data

Georeferencing

  • E-lecture
  • Reading: “Organization, part 7”
  • Lab: Georeferencing

Shapefiles and geodatabases, contours and hillshades

  • E-lecture
  • Reading: “Organization, parts 8 and 9”
  • Lab: Creating data

Visualisation: Basics to reading a map

  • E-lecture
  • Reading: “Visualisation, parts 1, 2, 3, and 4”
  • Lab: Visualisation and map reading

Visualisation: Symbology

  • E-lecture
  • Reading: “Visualisation, part 5”
  • Lab: Understanding symbology and map reading

Plan and create a map

  • E-lecture
  • Reading: “Visualisation, part 6”
  • Lab: Map creation

Using Python to solve basic spatial problems

  • E-lecture
  • Reading: “Python in GIS”
  • Lab: Solving basic spatial problems programmatically

Spatial query o E-lecture

  • Reading: “Spatial Query”
  • Lab: Spatial query

Combining data

  • E-lecture
  • Reading: “Combination”
  • Lab: Combination

Analysis

  • E-lecture
  • Reading: “Analysis”
  • Lab: Analyzing data

Prediction

  • E-lecture
  • Reading: “Prediction”
  • Lab: Using GIS for prediction

Click here to apply for the course Introduction to geographic information systems

Lecturer

51832284
Det teknisk- naturvitenskapelige fakultet



Institutt for energiressurser
Førsteamanuensis

Contact persons

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