Title: Basic Concepts in GIS
1Basic Concepts in GIS
- Eric J. Howard
- GIS Analyst, Center for Embedded Networked
Sensing - 4/16/2008
- CS219
2Overview
- What is GIS?
- Spatial Analysis
- GIS System Architecture, Overview
- Issues of Scale
- VTTI
- Roanoke Valley MPO Stud
- ShenAir
- Conclusion
3What is GIS
- Geographic Information Systems
-
- or ..
- Geographic Information Science
4What is GIS?
- A system for capturing, storing, checking,
integrating, manipulating, analysing and
displaying data which are spatially referenced to
the Earth. This is normally considered to involve
a spatially referenced computer database and
appropriate applications software - Chorley Report, 1987
5What is GIS?
- Hardware
- Software
- Data
- People
- Methods
6Spatial Analysis
You Are Here!
Do two items occupy the same space? What is the
spatial distribution of this species? How does
this person move through their neighborhood? What
is the best route to this location? ----Not a new
idea------
7Spatial Analysis
Cholera Epidemic in Soho, London - 1854
- 500 deaths within 200 yards of the Broad St
public water pump - When the pump handle was removed, no new cases
were diagnosed in that Street. - Dr. Snow proved that the pump had been the
source of the those cases and that the cholera
was carried in the contaminated water
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9GIS System Architecture Overview
Data Collection GPS R.S. Digitizing Survey Inst.
Data Viz. ArcGIS Google Earth Google
Maps Openlayers GRASS
Data Storage Shapefiles ArcSDE PostGIS
Data Processing ArcGIS PostGIS QGIS GRASS
10Data Collection
- Global Positioning Systems
- Remote Sensing Applications
- Various Platforms
- Image / Raster based
- Digitizing
- Survey Instruments / Dead Reckoning
11Data Storage
- Position In Space Relationships
- Most databases now support some type of spatial
data types - OGC vs. ArcSDE
12Data Storage
- Projection Systems
- Cylindrical
- Conical
- Planer
http//info.wlu.ca/wwwgeog/special/geomatics/html
/arcprojections.htm
13Data Processing / Analysis
- Vector Data Types
- Basic Spatial Relationship (intersections,
unions, etc..) - Flow / Movement
- Network Analysis
- Geo spatial statistics
14Data Processing / Analysis
- Raster
- Land-cover Classification
- Concentration
- Flow / Movement
- Geo spatial statistics
15Issues of Scale
- Operational Scale
- Level in which processes of interest occur
(contaminate transport) - Geographic Extent
- Size of study area (local, regional, global)
- Spatial Resolution / Cartographic Scale
- Detail / Granularity of analysis and display
(124,000)
16Issues of Scale
17Scale Concepts
18VTTI Regional pedestrian activity measurement
study
Purpose Determine the usability of wearable GPS
and cell phone technologies to collect pedestrian
movement data.
19VTTI Regional pedestrian activity measurement
study
- Project Team
- Urban Planning
- Systems Engineering
- Electrical Engineering
- Public Administration
- Statistics
20VTTI Regional pedestrian activity measurement
study
21VTTI Regional pedestrian activity measurement
study
22VTTI Regional pedestrian activity measurement
study
The Trackstick
23VTTI Regional pedestrian activity measurement
study
- Lessons learned
- This is technically challenging (especially from
a Planner standpoint) - Results where promising but still had a to go for
consistent results - Large amount time spent on data manipulation
24Roanoke Valley MPO Transportation Mode Choice
Model
- Purpose
- Create a Transportation Mode Choice Model for the
Roanoke MPO - Determine if regional development patterns and
neighborhood characteristics can improve the
model results.
25Roanoke Valley MPO Transportation Mode Choice
Model
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27Roanoke Valley MPO Transportation Mode Choice
Model
- Uqit ßqxqit eqit
- Where,
- Uqit utility that an individual (q) associates
with an alterative (i) choice at a specific
occasion (t) - xqit a vector of observed variable (including
alternative specific constants) - ßq corresponding coefficient vector that may
vary over individuals but does not vary across
alternatives or time - eqit assumed to be identical, independent, and
evenly distributed.
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31Roanoke Valley MPO Transportation Mode Choice
Model
32Roanoke Valley MPO Transportation Mode Choice
Model
33Roanoke Valley MPO Transportation Mode Choice
Model
- Lessons learned
- Sending out paper surveys takes a long time
- Self reporting results leads to underreporting of
trip - People in Roanoke tend to drive
34ShenAir Initiative
- Created as a result of Shenandoah Valley Early
Action Compact Agreement. - Government and University alliance to provide a
regional science based response to air quality
issues.
35ShenAir Initiative
- Project Team
- Meteorology
- Climatology
- Mechanical Engineering
- Atmospheric Chemistry
- Computer Science
- Urban Planning
- Local Government
- Local Environmental Organizations
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37ShenAir Initiative
38ShenAir Initiative
- Complete land cover classification for the entire
state - Calculate error measure for classification from
aerial photography - Calculate exposure rates for built areas
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42Conclusion Tips for successful maps
- Should have
- North Arrow
- Legend
- Descriptive Title
- Metadata
- Date Published
- Scale
43Conclusion Tips for successful maps
- Use simple and clean symbols
- Contrasting colors to make statements
- Provide context information
- Remember who your audience is
- .and try to avoid plastic looking maps.
44Possible Campaigns
- Journey to Work
- Landmarks / Community Identity / Asset-mapping
- Time-Activity Spaces
- Physical Activity / Caloric Expenditure
45Thanks!
ejhoward_at_cens.ucla.edu