4. QUERY
• It is one of the operation used in GIS to analyse data.
• In analysis of Spatial data
– Attribute query
– Spatial query
– Alteration of original data
5. ATTRIBUTE QUERY
• An attribute query is a way to search for and retrieve
records of features in a set of data based on its
attribute values.
• Like in a country’s map, name of states which
contains “PRADESH”.
6. SPATIAL QUERY
• Involves selecting features based on location or
spatial relationships, which require processing of
spatial information
• Like areas within some distance
• 3 broad categories of SPATIAL QUERY
• DIRECTION
• DISTANCE
• TOPOLOGY
7. NETWORK ANALYSIS
• What is Network Analysis?
Network analysis enables you to solve problems,
such as finding the most efficient travel route,
generating travel directions, finding the closest
facility, defining service areas based on travel time.
• Widely they are
» Transportation network
» Utility network
8. NETWORK ANALYSIS
• Rivers, Roadways, Telecommunication line, sewage,
rail route etc.
• Network classification based on route,
– Directed
– Undirected
11. MODELLING A NETWORK
• Data requirement for network analysis
1. Attribute data
2. Spatial data
• Network characteristics
1. Length
2. Direction
3. Connectivity
4. Pattern
12. MODEL OF ROAD NETWORK
Journal of Geographic Information and Decision Analysis, vol. 3
13. NETWORK ANALYSIS
• Types of operations in network analysis
– Shortest path analysis
– Best route
– Closest facility
– OD-cost matrix
– Network partitioning
14. NETWORK ANALYSIS
• Best route
– Best route can be the quickest, shortest, or most scenic
route.
– It depends on the Impedances chosen like Time, Distance.
• Shortest Route
• The Dijkstra algorithm
15. APPLICATION OF NETWORK ANALYSIS
• Routing
• Travelling salesperson problem
• Resource allocation
• Isochrones
21. CONCLUSION
• From the study related to query and network analysis, we can
conclude that in field of urban planning there is a huge scope
of GIS-query and network analysis.
• We can able to find every detail about particular area as we
want (Spatial, Attribute).
• It reduces the work that we needed in absence of them by
manually doing so.
• By using these techniques we can avail more statistics as well
as detailed information about particulars related to GIS data.