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GEOGRAPHICAL
INFORMATION
SYSTEM
UNIT 4
WE-IT TUTORIALS (PH:8097071144/55)
'Data Exploration' with its
various aspects
 data exploration in GIS lets the user view the general patterns in the
data set, query data subsets, and hypothesize about possible
relationships between data sets
 data exploration in a GIS involves both spatial and attribute data
 media for data exploration in GIS include maps and map features
WE-IT TUTORIALS (PH:8097071144/55)
Different types of graphs are
used for data exploration
 A line graph
 A histogram (bar chart)
 A cumulative distribution graph
 A scatterplot plotting
 A bubble plot
WE-IT TUTORIALS (PH:8097071144/55)
'Attribute Data Query' with its
various aspects
 Attribute data query retrieves a data subset by working
with attribute data
 The selected data subset can be simultaneously
examined in the table, displayed in charts, and linked to
the highlighted features in the map
 SQL (Structured Query Language)
 Query Expressions (where ph=1.4)
 Type of Operation(set subset “and or”)
WE-IT TUTORIALS (PH:8097071144/55)
how an attribute query is executed on
a relational GIS database
 Query, joins, and relationship
WE-IT TUTORIALS (PH:8097071144/55)
'Spatial Data Query' with all its
aspects
 Spatial data query refers to the process of
retrieving a data subset from a layer by
working directly with features.
WE-IT TUTORIALS (PH:8097071144/55)
Spatial relationships used for
query includes
 Containment(finding schools within a
selected county)
 Intersect(selecting land parcels that intersect
a proposed road)
 Proximity(finding state parks within 10 miles
of an interstate highway)
WE-IT TUTORIALS (PH:8097071144/55)
Combining Attribute and
Spatial Data Queries
 Locate all gas stations in the study area, and select
those stations with annual revenues exceeding $2
million through attribute data query. Next, use spatial
data query to narrow the selection of gas stations to
those within 1 mile of a freeway exit.
WE-IT TUTORIALS (PH:8097071144/55)
'Raster Data Query' with all its
aspects
 Query by Cell Value
 The cell value in a raster typically represents a
specific attribute value (e.g.. land-use type,
elevation value, etc.) at the cell location.
WE-IT TUTORIALS (PH:8097071144/55)
Geographic Visualization and
its various techniques
 Data Classification (explore rates of
unemployment by state in the United States)
 Spatial Aggregation(Spatial aggregation is
functionally similar to data classification
except that it groups data spatially)
 Map Comparison(Map comparison can help
a GIS user sort out the relationship between
different maps. )
WE-IT TUTORIALS (PH:8097071144/55)
END OF UNIT 4
WE-IT TUTORIALS (PH:8097071144/55)

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Geographical information system unit 4

  • 2. 'Data Exploration' with its various aspects  data exploration in GIS lets the user view the general patterns in the data set, query data subsets, and hypothesize about possible relationships between data sets  data exploration in a GIS involves both spatial and attribute data  media for data exploration in GIS include maps and map features WE-IT TUTORIALS (PH:8097071144/55)
  • 3. Different types of graphs are used for data exploration  A line graph  A histogram (bar chart)  A cumulative distribution graph  A scatterplot plotting  A bubble plot WE-IT TUTORIALS (PH:8097071144/55)
  • 4. 'Attribute Data Query' with its various aspects  Attribute data query retrieves a data subset by working with attribute data  The selected data subset can be simultaneously examined in the table, displayed in charts, and linked to the highlighted features in the map  SQL (Structured Query Language)  Query Expressions (where ph=1.4)  Type of Operation(set subset “and or”) WE-IT TUTORIALS (PH:8097071144/55)
  • 5. how an attribute query is executed on a relational GIS database  Query, joins, and relationship WE-IT TUTORIALS (PH:8097071144/55)
  • 6. 'Spatial Data Query' with all its aspects  Spatial data query refers to the process of retrieving a data subset from a layer by working directly with features. WE-IT TUTORIALS (PH:8097071144/55)
  • 7. Spatial relationships used for query includes  Containment(finding schools within a selected county)  Intersect(selecting land parcels that intersect a proposed road)  Proximity(finding state parks within 10 miles of an interstate highway) WE-IT TUTORIALS (PH:8097071144/55)
  • 8. Combining Attribute and Spatial Data Queries  Locate all gas stations in the study area, and select those stations with annual revenues exceeding $2 million through attribute data query. Next, use spatial data query to narrow the selection of gas stations to those within 1 mile of a freeway exit. WE-IT TUTORIALS (PH:8097071144/55)
  • 9. 'Raster Data Query' with all its aspects  Query by Cell Value  The cell value in a raster typically represents a specific attribute value (e.g.. land-use type, elevation value, etc.) at the cell location. WE-IT TUTORIALS (PH:8097071144/55)
  • 10. Geographic Visualization and its various techniques  Data Classification (explore rates of unemployment by state in the United States)  Spatial Aggregation(Spatial aggregation is functionally similar to data classification except that it groups data spatially)  Map Comparison(Map comparison can help a GIS user sort out the relationship between different maps. ) WE-IT TUTORIALS (PH:8097071144/55)
  • 11. END OF UNIT 4 WE-IT TUTORIALS (PH:8097071144/55)