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Lecture Notes Geographic Information Systems | RUG | 2025/26

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Lecture notes from the Geographic Information Systems course at Rijksuniversiteit Groningen covering foundational GIS concepts and spatial data models. Content spans vector and raster data structures, Tobler's First Law of Geography, discrete vs. continuous data, geodata collection methods, and practical applications like Select By Location and raster clipping. Essential study material for understanding GIS fundamentals and preparing for coursework based on Campbell & Shin and Manson textbooks.

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Geographic Information
Systems
planning:
Essentials of Geographic Information System; Campbell & Shin:
CH1, CH2, CH3, CH4, CH5.2, CH5.3, CH5.4, CH6.2, CH7, CH8
Mapping, Society, and Technology; Manson
CH1, 3, 4, CH5, CH9


see Brightspace:
Computational Thinking for Problem Solving
Jensen: CH7
Privacy in Research, FutureLearn


mock exam:
question 3: Select By Location → schools
erase → fastfood buffers
question 4: Clip raster




Lecture 1: Introduction to GIS and spatial data
First Law Geography
“Everything is related to everything else, but near things are more related than
distant things” (Tobler, 1970)




Geographic Information Systems 1

, When is GIS useful; Answering questions about geographic …
• Location - The position of a phenomenon on the surface of the earth.
• Distribution - Describes how phenomena are spread across the surface of the
earth.
• Interaction - Describes the linkages and relationships between places.
• Change - Refers to the persistence, transformation, or disappearance of
phenomena on the earth.
→ even though bigger hospital
people are more prone to travel
longer for, now people on the north
have to travel really far even for
smaller




› Geometry: position, size, orientation
› Theme (attribute)
› Topology: Underlying relationship
› Metadata: when it is taken
› Representation




Geographic Information Systems 2

, Saved as either Vector or Raster
data model
Vector Data Model: A data structure
that uses points, lines, and polygons
to represent spatial features:




Point objects Line objects
› X-, Y-cordinate (metric) Node
› Longitude, Latitude › Beginning and end points line
› connection point between lines
Vertex – Vertices
› ‘curving points’ between nodes
Attribute - geometry
› Length




Polygon objects
Node
› Start node = end node
› Shared boundaries created by
shared nodes (and vertices)
Attributes - geometry


Geographic Information Systems 3

, › Outline
› Surface


Choice of geometry type dependents on scale
Each type of geometry is stored in a separate layer! (one for points, lines and
polygones)


Raster Data Structure: A data
structure that uses a grid consisting
of rows, columns, and cells to
represent spatial data.
› Raster is both the geometry and
the attribute table
› One value in each per cell
› All cells contain values




Resolution = cell size
LGN: Land cover Netherlands
Discrete / ‘categorical’ / Continuous / ‘non-discrete’ /
discontinuous data: ‘surface’ data:
› represents objects › represents ‘phenomena’
› boundaries are known › boundaries are vague (zoom in →
› boundaries are ‘sharp’ blocks)
› values derived from measurements
Conversion? → Not always a good idea!
• Loss of detail
• Loss of accuracy
• Stair stepping (raster to vector)
• Changes to the original data



Geographic Information Systems 4

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