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10 Cards in this Set
- Front
- Back
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Vector Data: - What kind of features? - AKA - Describe a simple vector data model. |
- Discreet Features - Spaghetti Model - Uses coordinates, features are independent |
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Raster Data: - What kind of features? - AKA - Describe two ways of determining the value of a cell - Describe Resolution |
- Continuous - Tessellation Model - Center Point, largest share of a point. - 1:25000 has a greater resolution than 1:500,000. |
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Spatial Data: - Can be described by their.. - Represented by |
- Location and characteristics. - Attribute data |
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Attribute Data: - What is a relational database? - One-to-one - One-to-many -many-to-many - Nominal -Ordinal -Interval -Ratio |
- A collection of tables. - One lot has one owner. - One lot has many owners. - A lot can have many buildings, which has many owners, who all own many buildings. - Names - From 1-10 - Temperature - Salary |
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Maps: - What do reference maps show? - What do thematic maps show? |
- Reference maps show "where", help with navigation. - Thematic maps show "what". |
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Classification Methods: - Jenks/Natural breaks. - Equal Interval Method - Quantile - Standard Deviation Method |
- Jenks puts divides between values that jump. - Equal interval is a set interval. Influenced by extreme values. - Quantiles are equal count. - Standard Deviation shows distance from the mean. |
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Projections: - What is a geoid? - What is an ellipsoid? - What is a datum? |
- Geoid: close representation of the Earth. - Ellipsoid: A 3D shape made from a 2D ellipse. - Datum: Mathematical model of earth, for coordinates. |
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Projections: - Mercator Projection - Universal Transverse Mercator - Mercator Transverse Modifie |
- Mercator: Cylindrical, meridians are equidistant, while parallels separate near poles. - UTM: Parallels run from pole to pole. - MTM: Based on UTM, for Atlantic Canada. |
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Coordinate Systems: - Great circle - Tissot Indicatrix |
- A line that divides the Earth in two equal parts. Meridians and the equator are great circles. - Indicates distortion. |
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Data sources: - Primary Data Sources: Raster, vector attribute. - Secondary Data Sources: Spatial, attribute - Encoding |
Primary: - Raster: Aerial photography - Vector: GPS: Space, Control, User - Attribute: Observations, interviews Secondary: - Spatial: Physical Maps - Attribute: Textbooks, documents Encoding: Scanning |
