Introduction to Spatial Information Technologies in the Earth Sciences - PowerPoint PPT Presentation

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Introduction to Spatial Information Technologies in the Earth Sciences

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Title: Introduction to Spatial Information Technologies in the Earth Sciences


1
Introduction to Spatial Information Technologies
in the Earth Sciences
OR What is GIS/RS and what can it do for
me? OR Why is Miles on the faculty in this
College?
  • Miles Logsdon
  • mlog_at_u.washington.edu

http//faculty.washington.edu/mlog Or
http//sal.ocean.washington.edu/people
2
Our agenda today
  • What are spatial information technologies?
  • What is the difference between GIS, Spatial
    Analysis, and Spatial Data Analysis?
  • What is the difference between a Spatial model
    and a Spatial Explicit Model
  • What is a theoretical basis for the application
    of GIS and spatial data analysis in Ecological
    Studies?
  • What research methods or tools directly apply
    between the two fields?

3
My agenda
  • Show you pretty pictures
  • Talk about myself
  • Justify our time together
  • Stop talking - Sooner or later

Spatial Information Technologies GIS - GPS
Remote Sensing
4
Spatial Information Technologies
  • Geographic Information Systems GIS
  • Global Positioning System GPS
  • Remote Sensing and Image Processing - RS

Technologies to help answer
  • What is here? give a position
  • What is next to this? given some
    description
  • Where are all of the ??? detecting or finding
  • What is the spatial pattern of ???
  • When X occurs here, does Y also occur?

5
GIS
Geographic Information System
GIS - A system of hardware, software, data,
people, organizations and institutional
arrangements for collecting, storing, analyzing,
and disseminating information about areas of the
earth. (Dueker and Kjerne 1989, pp. 7-8)
  • GIS - The organized activity by which people
  • Measure aspects of geographic phenomena and
    processes
  • Represent these measurements, usually in a
    computer database
  • Operate upon these representations and
  • Transform these representations. (Adapted from
    Chrisman, 1997)

A KEY POINT Geo-referenced Data
6
Suggested Reading
  • Chrisman, Nicholas, 1997, Exploring Geographic
    Information Systems, John Wiley Sons,
  • Burrough, P. A., 1986, Principles of
    Geographical Information Systems for Land
    Resources Assessment, Monographs on Soil and
    Resources Servey 12, Oxford Science Publications
  • Miller, Roberta Balstad, 1996, "Information
    Technology for Public Policy", in GIS and
    Environmental Modeling Progress and Research
    Issues, editors, Michael F. Goodchild, Louis T.
    Steyaert, Bradley O. Parks, Carol Johnston, David
    Maidment, Michael Crane, and Sandi Glendinning,
    GIS World Books.
  • Goodchild, Michael F., "The Spatial Data
    Infrastructure of Environmental Modeling", in GIS
    and Environmental Modeling (see above).
  • Faber, G. Brenda, William W. Wallace, Raymond M.
    P. Miller, "Collaborative Modeling for
    Environmental Decision Making", proceedings of
    the GIS'96 Tenth Annual Symposium on Geographic
    Information Systems, Vancouver, B.C., March 1996.

7
The larger context
(Chrisman, 1997)
8
Concept of Spatial Objects
Raster Data Encoding
  • POINTS
  • LINES
  • AREA

Vector Data Encoding
9
Vector - Topology
Data Relationships are invariant to translation
and rotation
Vector - Topology
Descriptive
Spatial
Object
VAR1 VAR2
1 2 3
x1,y1 x2,y2 x3,y3
1 2 3
VAR1 VAR2
Fnode Tnode x1y1, x2y2
1
1 2
1 2
1 2 xxyy, xxyy 2 3
xxyy,xxyy
3
2
2
1
VAR1 VAR2
2
3
1 2
1 2
10, 11, 12, 15 10, .
15
10
1
4
12
5
11
10
Map AlgebraRaster topology
  • In a raster GIS, cartographic modeling
  • is also named Map Algebra.
  • Mathematical combinations of raster layers
  • several types of functions
  • Local functions do not consult the 8
    neighbors
  • Focal functions function on the kernel of
    neighboring cells
  • Zonal functions function on cells that test
    true in a different layer
  • Global functions based upon the distribution
    of all cells
  • Functions can be applied to one or multiple layers

11
Focal Function Examples
12
Spatial Data Analysis The accurate description
of data related to a process operating in space,
the exploration of patterns and relationships in
such data, and the search for explanation of such
patterns and relationships
Spatial Analysis vs. Spatial Data
Analysis Spatial Analysis what is here, and
where are all the Xs ??? Spatial Data Analysis
observation data for a process operating in
space and methods are used to describe or explain
the behavior, and/or relationship with other
phenomena.
13
GPS Finding distance by measuring time
  • The precise location is determined by the
    intersection of 4 spheres of time

ltlt 7/100 of a second after 400
400 p.m. gtgt
Receiver Satellite
G J K E T Y U O W V W T D H K
G J K E T Y U O W ...
14
Satellite Remote Sensing
June 27, 2001
15
SeaWifs, April 24, 1999
A zonal function between 3 raster layers
Thanks to Seelye Martion
16
PATTERN (Landscape Ecology)
  • Structure the spatial relationships among the
    distinctive ecosystems or elements
  • Function the interactions among the spatial
    elements
  • Change the alteration in the structure and
    function of the ecological mosaic over time

17
Landscape Structure Physiognomy / Pattern
  • Composition The presence and amount of each
    element type without spatially explicit measures.
  • Proportion, richness, evenness, diversity
  • Configuration The physical distribution in
    space and spatial character of elements.
  • Isolation, placement, adjacency
  • some metrics do both

18
Types of Metrics
  • Area Metrics
  • Patch Density, Size and Variability
  • Edge Metrics
  • Shape Metrics
  • Core Area Metrics
  • Nearest-Neighbor Metrics
  • Diversity Metrics
  • Contagion and Interspersion Metrics

19
Structured Process in Geostatistics
Represent the Data
Explore the Data
Fit a Model
Perform Diagnostics
Compare the Models
20
Introduction to Geostatistics
  • D is the spatial domain or area of interest
  • s contains the spatial coordinates
  • Z is a value located at the spatial coordinates

Z(s) s ? D Geostatistics Z random D fixed,
infinite, continuous Lattice Models Z random D
fixed, finite, (ir)regular grid Point Patterns Z
? 1 D random, finite
21
Merge Bathymetry Topography
Thanks to David Finlayson
22
Puget Sound DEM Resolving Coast Geomorphology
Thanks to David Finlayson
23
Classified land surface response
June, 1981
Dec. 1998
24
Our collection Pacific Northeast, Apr Sep,
1999 - 2002
Ocean Remote Sensing
SeaWifs, 1999, 1km monthly mean chlorophyll-a
estimates
Apr
May
Jun
Jul
Aug
Sep
25
Flying
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