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Resources for GIS and Spatial Analysis

This outline presents a structured approach to accessing and utilizing resources for Geographic Information Systems (GIS) and spatial analysis. It covers diverse data and software sources, including National Geospatial Data Clearinghouse and Geospatial One-Stop. The integration of OGC web server specifications is discussed, alongside metadata formalization for better service identification. Key resources and tools such as ESRI ArcGIS, MapInfo, and GRASS software are highlighted, providing essential insights for effective spatial data management and analysis.

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Resources for GIS and Spatial Analysis

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  1. Resources for GIS and Spatial Analysis Mike Goodchild

  2. Outline • Data sources • Software sources

  3. Geolibraries • One-stop shops • National Geospatial Data Clearinghouse • http://nsdi.usgs.gov/ • Geospatial One-Stop • http://www.geodata.gov/ • Integration with GIS • OGC web server specifications • Geography Network

  4. Implications for finding data • Heuristics for the SAP • Geographic information is most likely to be found on a server located within its footprint • convergence of d and s • but at what level in the hierarchy? • jurisdiction that most closely matches the footprint • max ||JF|| / (||J|| ||F||)1/2

  5. Transitioning map libraries • From central services to unique services • from general collections to special collections • from UCSB's Map and Imagery Laboratory to the Alexandria Digital Library • There will always be more than one service • no amazon.com of geographic information • www.alexandria.ucsb.edu • www.geographynetwork.com • www.fgdc.gov • Unique services must declare themselves • through collection-level metadata (CLM) • formalizing and publishing d

  6. CLM of the Alexandria Digital Library

  7. Knowing where to look • Approaches to CLM • by data type • ortho.mit.edu • by area of the globe • Arctic Data Directory • the one stop shop • www.fgdc.gov • a new generation of search engines • identifying footprints

  8. Finding software tools • GIS core functions • ESRI ArcGIS • MapInfo • Idrisi • GRASS • Manifold

  9. GIS extensions • ESRI scripts • Avenue (ArcView 3.x) • AML (ArcInfo <8) • VBA (ArcInfo 8,9) • Python, JScript (ArcInfo 9) • ArcToolbox, ArcScript • Component-ware • COM-compliant software • ArcGIS and Excel • ArcGIS and Idrisi

  10. Example (areal interpolation) ‘Pass Excel the U column vector (source values) While Not pFeat Is Nothing       pRow = Call GetRow(pFeat.Value(0)) ‘GetRow is user-defined function       pCol = "A"       zValue = pFeat.Value(zValueIndex) Sheets("Sheet2").Select 'Store vector on Sheet 2 in Column A      Range(pCol & pRow).Select      Selection.R1C1 = zValue      Set pFeat = pCursor.NextFeature   Wend M.J. Ungerer and M.F. Goodchild (2002) Integrating spatial data analysis and GIS: a new implementation using the Component Object Model (COM). International Journal of Geographical Information Science 16(1): 41–54.

  11. 1 target zone 4 source zones 15% of B B A C 10% of A D 5% of C 50% of D PopTARGET = 0.10 PopA + 0.15 PopB + 0.05 PopC + 0.50 PopD

  12. CSISS tool search • http://www.csiss.org • General Google search

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