Implementing Spatial Matching - GIS and Mapping - Lecture Notes, Study notes of Geology

In these Lecture notes, the following main points were discussed by the Lecturer : Implementing Spatial Matching, Available In Three Places, Points In Polygon, Lines In Polygon, Points On Lines, Points On Points, Geoprocessing Wizard, Options In Geoprocessing Wizard, Dissolve Features, Use For Edge Matching

Typology: Study notes

2012/2013

Uploaded on 07/23/2013

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Available in three places
via Selection/Select by Location
this selects features of one layer(s) which relate in some specified spatial manner to the
features in another layer
if desired, selected features may be saved later to a new theme via Data/Export Data
via Spatial Join (right click layer in T of C, select Join/Joins and Relates, then click
down arrow in first line of Join Data window---see Joining Data in Help for details)
Use for: points in polygon
lines in polygon
points on lines (to calculate distance to nearest line)
points on points (to calculate distance to “nearest neighbor” point)
via Tools/Geoprocessing Wizard
Creates a new layer (e.g. shape file) & combines attribute tables from 2 or more input themes
Five options available for different types of matching (see below)
Options in Geoprocessing Wizard
Dissolve features based on an attribute
Use for spatial aggregation/dissolving
Merge layers together
Use for edge matching
Clip one layer based on another
Use one theme to limit features in another theme
(e.g. limit a Texas road theme to Dallas county only)
Intersect two layers (extent limited to common area)
Use for polygon on polygon overlay
Union two layers (covers full extent of both layers)
Use for polygon on polygon overlay
Implementing Spatial Matching in ArcGIS 8
--Selection: simply selects
(“highlights”) entire spatial features in
the target layer, but doesn’t modify
these features
--joins: operate on tables and normally
creates a new table with additional
variables, but again does not modify
spatial features themselves
--geoprocessing wizard: modifies
geographic features thus creates new
spatial file
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Available in three places

  • via Selection/Select by Location
    • this selects features of one layer(s) which relate in some specified spatial manner to the features in another layer
    • if desired, selected features may be saved later to a new theme via Data/Export Data
  • via Spatial Join (right click layer in T of C, select Join/ Joins and Relates , then click down arrow in first line of Join Data window---see Joining Data in Help for details) - Use for: points in polygon lines in polygon points on lines (to calculate distance to nearest line) points on points (to calculate distance to “nearest neighbor” point)
  • via Tools/Geoprocessing Wizard
    • Creates a new layer (e.g. shape file) & combines attribute tables from 2 or more input themes
    • Five options available for different types of matching (see below) Options in Geoprocessing Wizard
  • Dissolve features based on an attribute
    • Use for spatial aggregation/dissolving
  • Merge layers together
    • Use for edge matching
  • Clip one layer based on another
    • Use one theme to limit features in another theme (e.g. limit a Texas road theme to Dallas county only)
  • Intersect two layers (extent limited to common area)
    • Use for polygon on polygon overlay
  • Union two layers (covers full extent of both layers)
    • Use for polygon on polygon overlay

Implementing Spatial Matching in ArcGIS 8

-- Selection: simply selects (“highlights”) entire spatial features in the target layer, but doesn’t modify these features -- joins: operate on tables and normally creates a new table with additional variables, but again does not modify spatial features themselves -- geoprocessing wizard: modifies geographic features thus creates new spatial file

Spatial Operations :

neighborhood analysis/spatial filtering

  • spatial convolution or filter
    • applied to one raster layer
    • value of each cell replaced by some function of the values of itself and the cells (or polygons) surrounding it
    • can use ‘neighborhood’ or ‘window’ of any size » 3x3 cells (8-connected) » 5x5, 7x7, etc.
    • differentially weight the cells to produce different effects
    • kernel for 3x3 mean filter: 1/9 1/9 1/ 1/9 1/9 1/ 1/9 1/9 1/ - low frequency ( low pass) filter: mean filter - cell replaced by the mean for neighborhood - equivalent to weighting (mutiplying) each cell by 1/9 = .11 (in 3x3 case) - smooths the data - use larger window for greater smoothing median filter - use median (middle value) instead of mean - smoothing, especially if data has extreme value outliers weights must sum to 1.

Spatial Operations:

raster–based modelling

  • Relating multiple rasters
  • Processes may be:
    • Local: one cell only
    • Neighborhood: cells relating to each other in a defined manner
    • Zonal: cells in a given section
    • Global: all cells
  • ArcGIS implementation:
    • All raster analyses require either the Spatial Analyst or 3-D Analyst extensions (extra cost)
    • Base ArcView can do no more than display an image (raster) data set

• Suitability modelling

• Diffusion Modelling

• Connectivity Modelling

soil slope for sale Site options Incidence matrix Probability mask System at time t+ Connectivity matrix Initial State Resultant State

Attribute Operations:

record selection or extraction Tabular (select by attributes)

  • Independent selection by clicking table: right click in TofC, select Open Attribute Table & click on grey selection box at start of row; hold ctrl key for multiple rows)
  • Create SQL query: use Selection/Select by Attribute
  • use table relates /joins to select specific data Graphic (select by location)
  • with manual cursor on map (use Select Features tool) - at a point - within a rectangle - within a radius (circle) around a point
  • By using another layer (spatial extraction) Hot Link
  • Click on map to ‘hot link’ to pictures, graphs, or other maps Outputs may be: - Simultaneously highlighted records in table, and features on map - New tables and/or map layers Examples - Use SQL query to select all zip codes with median incomes above $50, (tabular) - identify zip codes within 5 mile radius of several potential store sites and sum household income (graphic) - show houses for sale on map, and click to obtain picture and additional data on a selected house (hot link)

Attribute Operations:

record aggregation

  • combining two or more records into one, based on common values on a key variable
  • the attribute equivalent of regionalization or classification
  • equivalent of PROC SUMMARY in SAS
  • interval scale variables can be aggregated using mean, sum, max, min, standard deviation, etc. as appropriate
  • ordinal and nominal require special consideration
  • example: aggregate county data to states, or county to CMSA Record count decreases (e.g. from 12 to 2) Fips PMSA_90 PMSA_93 Pop90 Pop95_est Pop90-95% MedInc89 Suburb Name 48085 1920 1920 264036 346232 5.93 46020 1 Collin 48113 1920 1920 1852810 1959281 1.09 31605 0 Dallas 48121 1920 1920 273525 334070 4.22 36914 1 Denton 48139 1920 1920 85167 94223 2.03 30553 1 Ellis 48213 1920 58543 64293 1.87 20747 1 Henderson 48231 1920 64343 66972 0.78 25317 1 Hunt 48257 1920 1920 52220 60114 2.88 27280 1 Kaufman 48397 1920 1920 25604 32725 5.30 42417 1 Rockwall 48221 2800 28981 33384 2.89 31627 1 Hood 48251 2800 2800 97165 106181 1.77 30612 1 Johnson 48367 2800 2800 64785 73794 2.65 30592 1 Parker 48439 2800 2800 1170103 1278606 1.77 32335 0 Tarrant Source: US Bureau of the Census MedInc=Median Household Income. Pop90 as of April 1. Pop95 as of July 1. Fips PMSA_90 PMSA_93 Pop90 Pop95_est Pop90-95% MedInc89 Suburb Name 1920 2676248 2957910 2.00 32607 7 Dallas 2800 1361034 1491965 1.83 31292 3 Fort Worth sum (^) re-calc. average of medians! sum count Type of processing:

Attribute Operations: Joining and Relating Tables

associating spatial layer to non-spatial table

Join: one to one, or one to many, relationship, appends attributes

Associate table of country capitals with country layer: only one capital for each country (one to one) Associate country layer with type of government: one gov. type assigned to many countries--but each country has only one gov. type (one to many) Country Code Country 29 France 68 Saudi Arabia 106 Chad 248 Spain 199 Venezuela 9 UK 96 Philippines Layer Attribute Table Country Code Capital 199 Caracas 96 Manila 68 Riyadh 29 Paris 106 N'Djamena 9 London 248 Madrid NonSpatial Table Country Code Country Capital 9 UK London 29 France Paris 68 Saudi Arabia Riyadh 96 Philippines Manila 106 Chad N'Djamena 199 Venezuela Caracas 248 Spain Madrid Layer Attribute Table after Join Gov. Code Country 20 France 30 Vietnam 15 UK 20 Argentina 10 Saidi Arabia 15 Sweden 45 Portugal Layer Attribute Table Gov. Code Type 10 Absolute Monarchy 15 Const. Monarchy 20 Republic 30 Communist State 45 Parliamentary Democracy NonSpatial Table Gov. Code Country Type 20 France Republic 30 Vietnam Communist State 15 UK Const. Monarchy 20 Argentina Republic 10 Saudi Arabia Absolute Monarchy 15 Sweden Const. Monarchy 45 Portugal Parliamentary Democracy Layer Attribute Table after Join