GIS Applications and Preparing for a Career in Geographic Information Science
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Transcript of GIS Applications and Preparing for a Career in Geographic Information Science
GIS Applications and Preparing for a Career in Geographic
Information Science
Michael WingAssistant Professor
OSU Forest Engineering Department
Presentation Topics
Summary of two recently completed GIS applications that focused on forested resources in Oregon
Suggestions for your development as a geographic information scientist
Using Geostatistics to Quantify LWD Distribution
Examined geostatistical tests for their usefulness in quantifying LWD distributions
Part of a study to test the effects of adding LWD to streams LWD is critical for aquatic habitat quality
Hudson Creek in Oregon’s southern coast rangeLocations of all LWD measured prior and
following introduction of LWD into a stream
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N
0 5 10 Meters
Flow
PointsPoints with volumesVolume by surface
Figure 1. Examples of data models used in geostatistical analyses.
Survey R n (locations)
z (1.96)
Interpretation
Pre 0.97 108 -0.58 Failed to reject null- points randomly distributed Post 0.87 192 -3.34 Null rejected- tendency towards clumping
Year 1 0.85 183 -3.84 Null rejected- tendency towards clumping Year 2 0.79 266 -6.26 Null rejected- tendency towards clumping Year 3 0.88 272 -3.49 Null rejected- tendency towards clumping
Table 1. Nearest neighbor results for Hudson Creek.
0 5 10 15 20
lag (m)
0.0
0.5
1.0
1.5
PrePostYear 1Year 2Year 3
Figure 2. Semi-variance of large woody debris centroid volumes.
0 5 10 15 20
lag (m)
0.002
0.003
0.004
0.005
PrePostYear 1Year 2Year 3
Figure 3. Semi-variance of large woody debris lattice volumes
Results
All three tests captured differences in spatial variation over time geostatistics show potential for use as a
descriptive toolThird data model using a semi-variogram
provided the most useful results modeled the entire surface of the stream captured increased spatial variation of LWD
Role of GIS for LWD ProjectAllowed us to create three different data
models: point point with LWD volume entire stream surface area by LWD volume
(regions data model)Enabled two spatial statistical tests using
three data models flexibility in formatting data for statistical tests
Visibility Analysis ofMcDonald Forest
Part of OSU’s research forests (29 km2)Quantify visibility of all forest area based
on detailed user countsCreate a map for the entire forest that
representsing visibility
0 1 2 Miles
Use Estimates (quantile distribution)27 - 213218 - 628653 - 1,3211,323 - 3,3943,437 - 21,620
Boundary
Total use estimates for McDonald Forest
Roads: 104 kmTrails: 40 kmApproximately 65,000 recreational visits in 1994.
Results in quantifying visibility for each 10 m cell in the forest Raster or vector data structure can be returned
Data InputsDEM (10 meter resolution)Stand heightRoad and trail locations
user densities for each road and trailObserver height, view distance radius, vertical offset
Data Output
Visibility (number of people)01 - 1018710188 - 2885128852 - 5460054603 - 219270
Roads and trailsForest boundary
McDonald Forest Visibility Results
Visibility (number of people)01 - 1018710188 - 2885128852 - 5460054603 - 219270
Forest boundary
Number of users27 - 271278 - 926951 - 29442973 - 21620
Peavy Visibility Results
Role of GIS- Visibility Analysis
Processed visibility algorithmManipulated data inputsNo need for other softwareProject nearly impossible without GIS
about 250 road and trail segments ability of GIS to automate processing helped
avoid errors
Opportunities using spatial toolsScientist
Charting research direction Interpreting and publishing research results
Analyst Working with scientists to understand project goals Statistical analysis Database organization
Technician Conducting spatial processing tasks Preparing output
Local GIS jobs in Jan./Feb Corvallis, GIS Specialist- GS 9/11 (USFS PNWR)Corvallis, GIS Intern- $10-12/ hr, part time to start
(E&S Environmental Chemistry)Corvallis, Photo Interpreter and GIS specialist-
$12-$16/hr, part time to startSalem, GIS Analyst II- $3,100 to $4,064 month
(City of Salem)Roseburg, GIS Assistant- $12/hr, 34 weeks (Fed.
Agency)
Professional involvement…
ACSM, ASPRS, AGU, SAF, HydrophilesOSU ASPRS winter term meetings
ArcInfo developments Focus on NT (Windows 2000) rather than
UNIX DOQs (1 m resolution is complete) SSCGIS resurrected for the next biennium
Your professional developmentFocus your education on a discipline
Geology, hydrology, forestry, biometrics, oceanography, fish & wildlife
Make spatial tools a supporting disciplineBecome familiar with many software packages and
know their uses/limitations S-Plus, SAS Access, DBase, Excel ArcInfo (GRID), ArcView (SA, 3D), MapInfo Imagine, IDRISI
Your professional developmentFamiliarity with data structures
Vector, raster, TINs, regionsFamiliarity with data sources
DOQs, DRGs, DEMs, DLGs, Imagery, SSCGIS data themes
Scale/resolution of these sources is a defining factor of their utility
Statistics A key for many disciplines
Data utilityAll data are abstractions of the real worldError sources abound and confound
Collection errors Input errors Date of collection, updates
• USGS 7.5 minute quads are typically over 20 years old
Scale/resolution• Data collection purpose
Don’t wait for data…Precious time is wasted anticipating data
arrivalData completion/arrival schedules are always
overly optimistic Complete doesn’t mean available 10 m DEMs for Oregon’s westside are
completeConcentrate research efforts on available data
Your role with spatial toolsCartographerGeographer (M. Jordan and A. Einstein)StatisticianData accumulator / administratorData processorNetwork administratorThe pinnacle: Spatial Scientist
Appreciate, integrate, and delegate the above skills and disciplines into your research efforts
Future Trends in GISIncreased use and growth in most disciplines
GIS and remote sensing technology have evolved to become the single most significant tools for natural resource research and mgmt.
Data will continue to be produced at finer resolutionThe future appears to be modularWindows NT (Windows 2000) basedPeriod of user dominance will continue
easier to use, easier to get in trouble