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Spatial Statistics

Spatial Statistics. Cartography 3/21/2007. Indexes for Measuring Shape. CI : Compaction Index – ratio of the area of a shape to the area of a circumscribing circle. Problem of CI – not considering true shape form. Find CI for TN Counties.

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Spatial Statistics

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  1. Spatial Statistics Cartography 3/21/2007

  2. Indexes for Measuring Shape • CI : Compaction Index – ratio of the area of a shape to the area of a circumscribing circle. • Problem of CI – not considering true shape form.

  3. Find CI for TN Counties • Copy “tn_cnty_utm83t.shp” to your own folder from g:\4210\2007-S\Data. • Add it to ArcMap’s project. • What projection is this layer? • Find out the unit of the Area in attribute table? (acres, sq.mile, sq.km?) • Use circle to find out the area of circle circumscribing Putnam County’s border. • Find the Compact Index for Putnam County.

  4. Quiz • Find CI for “Carroll” County. • (604/1076)

  5. Moran Coefficient (MC) • MC is for spatial autocorrelation: ranges from -1 to + 1: • A value close to +1 indicates that similar values are likely to occur near one another, while a value close to -1 indicates that unlike value are apt to occur near one another.

  6. Moran Coefficient - Example

  7. Practice • Select five counties in and around “Shelby” county (left-lower corner of TN) • Export the selected data to your folder and add it back to the current project. • Map these 5 counties based on “POP90-SQMI” using “3 classes – Quantile method” • Find the Average of “POP90-SQMI” • Label the layer with values of “POP90-SQMI”

  8. Moran Coefficient 5 3 4 1 2 Average = 250

  9. Map Complexity • “The degree to which the combination of map elements results in a pattern that appears to be intricate or involved” - MacEachren. • Processes: a) omit the edges and vertices between like values • CF, CV, and CE, the higher the complexity number the more complex the map is.

  10. CFCVCE

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