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GIS Data Models

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GIS Data Models. Vector Data Models Vector File Formats Raster Data Models Raster File Formats. Data Abstraction. To use GIS the real world must be abstracted into points, lines, polygons, raster cells, and attribute values - PowerPoint PPT Presentation
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Page 1: GIS Data Models
Page 2: GIS Data Models

GIS Data ModelsGIS Data Models

Vector Data ModelsVector Data Models

Vector File FormatsVector File Formats

Raster Data ModelsRaster Data Models

Raster File FormatsRaster File Formats

Page 3: GIS Data Models

Data AbstractionData Abstraction

• To use GIS the real world must be abstracted into points, lines, polygons, raster cells, and attribute values

• Class examples may use common object that most people will understand. If you understand how to abstract common objects you will be able to apply the same method to object in your field

Page 4: GIS Data Models

What is Vector DataWhat is Vector Data

• Vector Data uses Points and their (X,Y) coordinates to represent spatial features

• Points, Lines and Polygons

Page 5: GIS Data Models

PointsPoints

• A point is a 0 dimensional object and has only the property of location (x,y)

• Points can be used to Model features such as a well, building, power, pole, sample location ect.

• Other name for a point are vertex, node, 0-cell

Page 6: GIS Data Models

LinesLines

• A line is a one-dimensional object that has the property of length

• Lines can be used to represent road, streams, faults, dikes, maker beds, boundary, contacts etc.

• Lines are also called an edge, link, chain, arc, 1-cell

• In an ArcInfo coverage an arc starts with a node, has zero or more vertices, and ends with a node

Page 7: GIS Data Models

Figure 4.3 p58 BernhardsenFigure 4.3 p58 Bernhardsen

Page 8: GIS Data Models

PolygonsPolygons

• A polygon is a two-dimensional object with properties of area and perimeter

• A polygon can represent a city, geologic formation, dike, lake, river, ect.

• Other name for polygons face, zone 2-cell

• Scale matters

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Data Abstraction DiscussionData Abstraction Discussion

• If you do not understand this the rest of GIS will not make sense

• Scale Matters

• Intended use Matters

Page 11: GIS Data Models

ExamplesExamples

• Trees

• Dikes

• Roads

• Rivers

Page 12: GIS Data Models

TopologyTopology

• A set of rules on how objects relate to each other

• Major difference in file formats

• Higher level objects have special topology rules

Page 13: GIS Data Models

Topology DefinitionTopology Definition

• The Science of mathematics of relationships used to validate the geometry of vector entities, and for operations such as network tracing and tests of polygon adjacency.

• The study of geometric properties that do not change when the forms are bent, stretched or under go similar geometric transformations.

Page 14: GIS Data Models

Figure 2-9 GIS Fundamentals, Bolstad

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Planer EnforcementPlaner Enforcement

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Why Topology MattersWhy Topology Matters

• Error Detection

open polygons

unlabeled polygons

slivers

polygons that cannot exist next to each

other

• Network Modeling

Page 17: GIS Data Models

Show PlacitasShow Placitas

• Arc Node Topology– Cover#– Lpoly# and Rpoly#– Tnode fnode

• Label errors

Page 18: GIS Data Models

Higher Level ObjectHigher Level Object

• Regions

• Networks

• TIN – Triangulated irregular network

• Dynamic Segmentation

Page 19: GIS Data Models

RegionsRegions

Overlapping areas with different attributes

Fire history

Disconnected areas with the same attributes

Hawaii

Page 20: GIS Data Models

NetworksNetworks

• Road systems, power grids, water supply sewerage systems, drainage network

• Continuous connected networks

• Rules for displacement in a network

• Attribute value accumulations due to displacements

Page 21: GIS Data Models

TINTIN

• Vector Surface Model

• Triangulated Irregular Network

• A set of nonoverlapping triangles each with a constant gradient

• A TIN can honor original input elevations

Page 22: GIS Data Models

Dynamic SegmentationDynamic Segmentation

• Combines a line coverage with a linear reference system

• Has event tables for point events and linear events

Page 23: GIS Data Models

Fig 3.13 p52 ChangFig 3.13 p52 Chang

Page 24: GIS Data Models

Examples and DemoExamples and Demo

Page 25: GIS Data Models

Shape FilesShape Files

• Nontopological

• Advantages no overhead to process topology

• Disadvantages polygons are double digitized, no topologic data checking

• 3 files .shp .shx .dbf

Page 26: GIS Data Models

CoveragesCoverages

• Original ArcInfo Format

• Directory With Several Files

• Database Files are stored in the Info Directory

• Uses Arc Node Topology– Planer Enforcement– Connectivity– Adjacency

Page 27: GIS Data Models

GeoDatabaseGeoDatabase

• New GIS Format at ArcGIS 8.0• Three Types

– Personal Geodatabase– Microsoft access 2000 database

– File Geodatabase– XML based file

– SDE GeoDatabase– Multi-user– Can connect to many RDBMS

• Oracle, SQL server, Informix• File are stored in the format native to the RDBMS

Page 28: GIS Data Models

Box 3.5 Geographic Information Box 3.5 Geographic Information Systems, Chang 04 p. 55Systems, Chang 04 p. 55

Page 29: GIS Data Models

GeoDatabaseGeoDatabase

• Shapes are similar to shape files

• Object-oriented model not a Geo-relational

• There are 26 topology rules than can be used to relate different layers

Page 30: GIS Data Models

Raster Data ModelRaster Data Model

Page 31: GIS Data Models

Figure 3:1 Getting Started with Figure 3:1 Getting Started with Geographic Information Systems, Geographic Information Systems, Clarke (2003) p. 91Clarke (2003) p. 91

Page 32: GIS Data Models

Grid PropertiesGrid Properties

• Each Grid Cell holds one value even if it is empty.• A cell can hold an index standing for an attribute.• Cell resolution is given as its size on the ground.• Point and Lines move to the center of the cell.• Minimum line width is one cell.• Rasters are easy to read and write, and easy to

draw on the screen.

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Page 34: GIS Data Models
Page 35: GIS Data Models

Raster PyramidsRaster Pyramids

• With out pyramids the entire raster must be read for each screen draw

• Pyramids store reduced resolution dataset files .rrd to increase the speed of screen draws

• When you add a raster to ArcMap if pyramids do not exist you can create them

Page 36: GIS Data Models

Raster ResamplingRaster Resampling

• Nearest Neighbor– Closest cell– Continuous and Discrete data

• Bilinear interpolation– Average of nearest 4 cells– Continuous data only

• Cubic Convolution– Average of nearest 16 cells– Continuous data only

Page 37: GIS Data Models

Quad Tree CompressionQuad Tree Compression

• May be use to get variable resolution for imagery in the National Map

Page 38: GIS Data Models

What are Terrains?What are Terrains?• New Dataset for ArcGIS 9.2

• They are a Multi-resolution, Tin-based surface.

• Comprised of mesurements stored as features in a geodatabase.

• Terrains live inside Feature Datasets, in a geodatabase.

Page 39: GIS Data Models

What are Terrans?What are Terrans?• Two Main characteristics of Terrrains:

– Feature classes participate in a terrain– Rules are established to generate TIN

pyramids on-th-fly.

• They are designed to handle mass volumes of point data in a logical and efficient storage mechanism.

Page 40: GIS Data Models

Figure 4.35 Geographic Information Systems and Introduction, Bernhardsen (2001), p. 87

Page 41: GIS Data Models

C. Dana Tomlin, Geographic Information Systems and Cartographic C. Dana Tomlin, Geographic Information Systems and Cartographic Modeling (1990), P. 44Modeling (1990), P. 44

• “Yes raster is faster, but raster is vaster, and vector just seems more corrector”

Page 42: GIS Data Models

Images are a form of raster dataImages are a form of raster data

• ArcGIS can use many common image formats

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Industry Standard Data ModelsIndustry Standard Data Models

• Some Industries have created standard data models

• It is a good idea to use a standard model to promote sharing of data

• Some data models can be very complex

• Complex models require custom tools to be useful

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ReferencesReferences

• Getting Started with Geographic Information Systems 4th Edition, Clark (2003)

• Geographic Information Systems an Introduction 3rd Edition, Bernhardsen (2002)

• Introduction to Geographic Information Systems 2nd Edition, Chang (2004)

• GIS Fundamentals, Bolstad (2002)• ArcGIS 8.3 Desktop Help• Using GRID with ArcInfo version 7 ESRI