1. NR 322: Organizing Data Jim Graham Fall 2008

2. GIS Data Flow Project, resample Processing Processed Data Original Data Final data And maps

3. GIS Data Organization One project –Original Data –Processing –Final data Multiple projects –Each projects data –Reused data

4. GIS Data Attributes (dbf) Spatial Data (shp) Metadata (xml) Projection (prj) Joins and Relationships Processing Models Layer files: Symbology

5. Various Formats Shapefile Coverage Rasters GeoDatabases All can be thought of as: –Spatial data –Attribute table

6. Definitions Shape –Group of polylines or polygons describing one feature on the earth Feature –A point or shape –Multipoint (set of related points) Feature class – one type of feature (point, polygon, polyline) Collection of features –Group of features of the same type (Shapefile) Dataset –Set of related collections of features (i.e. the Shapefiles for Rocky)

7. Arc Data Storage ShapefilesCoveragesGeoDatabases Collection of datasets Folder of Shapefiles ArcInfo Workspace GeoDatabase DatasetFolder of Shapefiles CoverageFeature dataset Collection of features ShapefileFeature class FeaturesPoint, Multipoint, Polygon, Polyline Point, Polygon, Polyline, etc. Point, Multipoint, Polygon, Polyline, Network Annotation

8. Introduction to Databases Tables like Excel Relationships between the tables XYDBHType -105.3421040.324501.2PP -105.3034539.93954.92LP -105.2321040.02132.82LP -105.3429240.128431.1LP AbrveNameBFCost PPPonderosa Pine.98 LPLodge Pole1.10

9. Joins and Relates Joins shows the table as being joined Relates just relates them together

10. Project Organization Project –Original Data Workspace for Coverages (folder) Folder for Shapefiles Folder for rasters Folder for GeoDatabases –Processing Data –Final Data

11. GeoDatabase Feature Dataset (folder) Feature class (Shapefile) Relationship class Table Raster class

12. GIS Databases Spatial data in a binary large object (blob)