Lesson 1.1 GIS Concepts, Data Types and Models

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GIS (Geographic Information System)
is a computer-based system used to collect, store, manage, analyze, and display geographic or spatial data.
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C-S-M-A-D
1. Collect
2. Store
3. Manage
4. Analyze
5. Display
Main functions of GIS
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Collect
acquire geographic data
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Store
keep spatial data in databases
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Manage
organize and update data
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Analyze
examine relationships and patterns
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Display
present information through maps, tables, and charts
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location;

information
GIS connects ___ with ___.
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Geographic information
describes objects or phenomena based on their location on or near Earth's surface.
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Spatial component
Describes where something is.
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Attribute component
Describes what something is or what characteristics it has.
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Spatial data
is data that contains information about the location, shape, and spatial relationships of geographic features.
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1. Vector data
2. Raster data
Spatial data can be represented mainly using:
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vector model
represents geographic features using points, lines, and polygons.
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Point
represents a feature with a specific location but no measurable area at the map scale.
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Point
Geometry: X, Y coordinates
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Line
represents a linear feature.
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Line
Geometry: A series of connected points/vertices
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Polygon
represents an area enclosed by lines.
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Polygon
Geometry: Closed series of connected vertices
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Raster Data Model
represents geographic information as a grid of cells or pixels.
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Raster Data Model
Each cell contains a value representing information about that location.
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Cell size (resolution)
refers to the dimensions of each raster cell.
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Smaller cell size
→ Higher spatial detail
→ More data
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Larger cell size
→ Lower spatial detail
→ Less data
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Vector
Uses points, lines, polygons
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Vector
Best for discrete features
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Vector
Precise boundaries
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Vector
Roads, parcels, buildings
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Vector
Stores coordinates/vertices
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Vector
Good for network analysis
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Raster
Uses grid cells/pixels
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Raster
Best for continuous phenomena
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Raster
Cell-based boundaries
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Raster
Elevation, temperature, imagery
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Raster
Stores values in cells
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Raster
Good for surface analysis
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Discrete data
Represents separate, identifiable objects.
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Discrete data
Usually represented well using vector data.
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Continuous data
Represents phenomena that vary continuously across space.
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Continuous data
Usually represented well using raster data.
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Attribute data
contains descriptive information associated with geographic features.
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Text/String
names or descriptions
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Integer
whole numbers
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Float/Real
decimal numbers
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Date/Time
dates and times
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Boolean
true/false
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coordinate system
provides a method for identifying locations on Earth's surface.
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Geographic Coordinate System (GCS)
Uses:
•Latitude
•Longitude

Usually measured in:
•Degrees
•Decimal degrees
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Projected Coordinate System (PCS)
Transforms Earth's curved surface onto a flat map using mathematical projection.
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Projected Coordinate System (PCS)
Coordinates are commonly expressed in:
•Meters
•Feet
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map projection
is a mathematical method for representing the curved Earth on a flat surface.
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distortion
Because Earth is curved, projecting it onto a flat map causes some form of
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•Shape
•Area
•Distance
•Direction
Common types of distortion:
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data model
a method for organizing and representing geographic information in a GIS.
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Vector model
Represents features as: Points → Lines → Polygons
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Raster model
Represents features as: Cells → Rows → Columns
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Spaghetti model
Stores lines independently without explicitly storing their relationships.
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Topological model
Stores spatial relationships between features.
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Raster data
is organized into a matrixrid.
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Spatial resolution
refers to the size of the smallest geographic area represented by a raster cell.
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Map scale
expresses the relationship between a distance on the map and the corresponding distance on the ground.
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Large-scale map
•Shows a smaller area
•More detail
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Small-scale map
•Shows a larger area
•Less detail
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Metadata
is information that describes a dataset.
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layers
GIS organizes geographic information into
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Buffer
Creates an area around a feature at a specified distance.
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Clip
Cuts a dataset according to a boundary.
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Overlay
Combines multiple layers to analyze relationships.
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Intersect
Finds areas where features overlap.
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Union
Combines polygon features from multiple layers.
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Spatial Query
Selects features based on their location or spatial relationship.
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1. Data acquisition
2. Data preparation
3. Data storage
4. Spatial analysis
5. Visualization
6. Decision-making
GIS Workflow
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