Upload
sibyl-boone
View
216
Download
0
Tags:
Embed Size (px)
Citation preview
Copyright © 2006 by Maribeth H. Price
1-1
How does GIS work?
Data storage
The ArcGIS Interface
Copyright © 2006 by Maribeth H. Price
1-2
Vector model
Vertices
Polygon
Points
Nodes
Line
X
Y
Features are stored as a series of x-y coordinates in a rectangular coordinate system.
Many different coordinate systems may be used.
Copyright © 2006 by Maribeth H. Price
1-3
Features linked to data
Each feature is linked to an entry in a data table containing information about the feature.
Copyright © 2006 by Maribeth H. Price
1-4
Advantages of vectors
• Precise location of features
• Storing many attributes
• Flexible for cartography
• Compact storage of information
• Ideally suited for certain types of analysis, especially areas, lengths, connections
Copyright © 2006 by Maribeth H. Price
1-5
The raster data model
Rows
ColumnsX, Y location
Raster data fileN rows by M columns
X, Y location
Georeferenced to earth’s surface
Copyright © 2006 by Maribeth H. Price
1-6
GIS data models
Vector model Raster model
Digital Raster Graphic
Converting Vector to Raster Data is Easy
Copyright © 2006 by Maribeth H. Price
1-10
Types of raster data
Discrete raster: land use
Continuous raster: DEM
Continuous raster: image
Discrete raster: roads
Some Common Image Formats
• JPG – Used for most digital photos but “lossy.”
• GIF – Best for line drawings. 256 colors maximum. No loss
• TIF – Standard in many technical applications. No loss
• PNG – Lossless image format
• RAW – Data as captured by digital camera
Copyright © 2006 by Maribeth H. Price
1-12
Continuous data
• Raster is the best way to store continuously changing values such as elevation
• Analysis faster and more flexible than vectors for many applications
• Some analysis only possible using rasters
Copyright © 2006 by Maribeth H. Price
1-13
Raster analysis functions
Density
Least cost path
Distance Interpolation
ViewshedBuffers
Copyright © 2006 by Maribeth H. Price
1-14
Impact of resolution
• Storage space increases by the square of the resolution
• Portraying large areas at high precision is problematic
90m resolution
10m resolution
Copyright © 2006 by Maribeth H. Price
1-15
Storage of attributes
• Roads may have other attributes: ownership, speed limit, number of lanes, etc.
• Would need a new raster for each attribute
• Only numeric attributes may be storedRaster contains 1 value
indicating a single attribute—road type for example
Copyright © 2006 by Maribeth H. Price
1-16
The raster data model
Rows
ColumnsX, Y location
Raster data fileN rows by M columns
X, Y location
Georeferenced to earth’s surface
Copyright © 2006 by Maribeth H. Price
1-17
Copyright © 2006 by Maribeth H. Price
1-18
ModelBuilder• Create models built from sequences of tools• Store processing steps for later reference• Execute models repeatedly with different inputs• Share models with others
Copyright © 2006 by Maribeth H. Price
1-19
Moonlight BayBasin.shp
Discard out-of-boundaryspot elevations
Export todelimited text
Extract spotelevations every 50’ for 11 input datasets
Merge 11datasets
bh_c.shpContour2-
point_bhc.shp
Township2-Foot Contours
THE RIDGES SANCTUARYWATERSHED STUDY - 2006-2007
Geospatial Analysis - Summary Flow Diagram Revision Date: 10 September, 2007 By: Mike Stiefvater
Boundary Of AreaTo Be Modeled
WS0607-Boundary.shp
Final Spot ElevationsIn x,y,c Format
Input01.txt
Thinned And Combined Township
Spot Elevations
Hydrologic modeling furnished by Door County
Soil and Water Conservation Department
Document Locationof Known Outlets
WS0607-outlet4model.shp
Calculated Subwatershed Boundaries
South Outlet*Basin.shp
Calculated Flow Paths
Flow path.shp
“Thinned” Elevation Data
Contour2-point_all.shp
FinalSpot Elevations
Contour2-point_clip.shp
WS0607-Culvert.shp
Hwy 57Basin.shp
Mud Lake Basins.shp
Analytical Operation/GeoprocessingTool
Dataset
* aka “Hidden Brook Subwatershed”