10-GEOG363_F16_MidTerm_Review_Final (1).pptx - 1 1 Midterm Review 2 Term Project Hannah Brais GIS Project(14:00 2 Midterm Review Please note this is

10-GEOG363_F16_MidTerm_Review_Final (1).pptx - 1 1 Midterm...

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1. Midterm Review 2. Term Project Hannah Brais: GIS Project (14:00) 1
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GEOG 363 / URBS 335 Angela Kross 2 Midterm Review Please note: this is just a review, exam is based on lectures (not on this document only)
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Outline 1. Format 2. Coverage 3. Review 4. Questions 3
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Format Multiple Choice 40 questions: Concepts of GIS, Application Date / Time 14 February 2017 13:15 – 14:30 Material HB Pencil , Sharpener, eraser, pen ID Note: Absolutely no use of cell phones or any other electronic devices during the exam. 4
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Coverage Lectures only should do, but if you need more context…readings from Jensen & Jensen… Intro to GIS (Chapter 1) GIS data types: raster, vector, attribute (Chapter 5) Mapping (Chapter 10) GIS data analysis : Attribute data analysis (Chapter 5: pg 139 – 146) Projections (Chapter 2) 5
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Review 6
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Coverage Lectures only should do, but if you need more context…readings from Jensen & Jensen… Intro to GIS (Chapter 1) 7
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Real World: raster, vector, attribute data Store and display data: mapping Analysis: attribute , vector, raster Transform data: projections Collect data 8
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Coverage Lectures only should do, but if you need more context…readings from Jensen & Jensen… GIS data types: raster, vector, attribute (Chapter 5) 9
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GIS is about representing the real world…HOW? a field a village a slope a forest a road a tree a moving herd Spatial features A Location  Spatial data Characteristics  Attribute data HAVE GIS data types: raster, vector, attribute (Chapter 5) 10
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Spatial (where?) Attribute (what?) Geographic data combine two types of data: A cell phone tower A street Housing Industries Building FI D ID Heig ht Stree t # 1 1000 3 25 Guy 245 2 1000 8 42 Peel 347 3 1003 4 12 Bisho p 265 Geographic data / Spatial features GIS data types: raster, vector, attribute (Chapter 5) 11
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Raster The world consists of smooth, continuous fields Vector The world consists of sets of discrete objects, their attributes and their relations Drawing vs. Picture…. Cells/Pixels (Fields or continuous features) Points, Lines, Polygons (discrete features) Spatial features represented by: Data Models 12
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GIS Spatial Data Structures Source: Vector data models: Simple vector data model Topological data model Vector data objects: Points Lines Polygons Raster data object: The CELL (pixel) 13
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Topology allows spatial operations based on connectivity and neighboring (contiguity) relations: St.A St.B St.C St.B is connected to St.C via St.A Neighbours of Dis.A are Dis.B, Dis.C, Dis.D and Dis.E Dis.A Dis.C Dis.B Dis.D Dis.E Topological Data Model Allow spatial operations 14
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Row, record, tuple Column, attribute, field 101500 Value, cell Attribute date 15
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Measurement levels of attribute data We can measure geographic objects (width, length, height) But, We can also measure attribute data Specifically, 4 measurement levels for attribute data: Interval (distance exists, but not ratios) Ordinal (ordering exists, but not distance) Nominal (no ordering) Ratio (ratios exist) 16
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  • Summer '17
  • donny seto
  • Cartography, GIS Spatial Data Structures

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