Difference between revisions of "Part 2"

From CMSC 420
m (link to official spec fixed)
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* [[createCity]]: You will need to be able to add cities to the data dictionary. No two cities can have the same coordinates or name.
 
* [[createCity]]: You will need to be able to add cities to the data dictionary. No two cities can have the same coordinates or name.
 +
* [[clearAll]]: Clears all of the data structures, removing all elements.
 +
* [[listCities]]: Output a sorted (XML) list of cities in the data dictionary.
 +
* [[printHeptaTrie]]: Prints the structure of your HeptaTrie using rules from Section 7 of the spec.
 
* [[mapRoad]]: Map a road in the spatial map.
 
* [[mapRoad]]: Map a road in the spatial map.
* [[listCities]]: Output a sorted (XML) list of cities in the data dictionary.
+
* [[mapCity]]: Map a city in the spatial map.
 +
* [[printPMQuadtree]]: This outputs an XML (textual) representation of the spatial map.
 +
* [[saveMap]]: This outputs a visual representation (an image) of the spatial data structure.  See [http://wam.umd.edu/~bzoller/cmsc420/doc/cmsc420/drawing/CanvasPlus.html CanvasPlus].
 
* [[rangeCities]]: This searches the spatial data structure for all cities within a given radius of a given point. Optionally save a visual representation of the command to an image file.  
 
* [[rangeCities]]: This searches the spatial data structure for all cities within a given radius of a given point. Optionally save a visual representation of the command to an image file.  
 +
* [[rangeRoads]]: This searches the spatial data structure for all roads within a given radius of a given point.
 
* [[nearestCity]]: This finds the nearest city in the spatial map to a given point.
 
* [[nearestCity]]: This finds the nearest city in the spatial map to a given point.
* [[printBTree]]: This outputs an XML representation of the data dictionary.
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* [[nearestIsolatedCity]]: This finds the nearest isolated city in the spatial map to a given point.
* [[printPMQuadtree]]: This outputs an XML (textual) representation of the spatial map.
+
* [[nearestRoad]]: This finds the nearest road in the spatial map to a given point.
* [[saveMap]]: This outputs a visual representation (an image) of the spatial data structure.  See [http://wam.umd.edu/~bzoller/cmsc420/doc/cmsc420/drawing/CanvasPlus.html CanvasPlus].
+
* [[nearestCityToRoad]]: This finds the nearest road in the spatial map to a given point.
* [[clearAll]]: Clears all of the data structures, removing all elements.
 
 
* [[shortestPath]]: Computes the shortest path between two cities. Optionally saves the path to an image file using [http://wam.umd.edu/~bzoller/cmsc420/doc/cmsc420/drawing/CanvasPlus.html CanvasPlus] or generates an HTML file for the shortest path using [http://en.wikipedia.org/wiki/XSLT XSLT].
 
* [[shortestPath]]: Computes the shortest path between two cities. Optionally saves the path to an image file using [http://wam.umd.edu/~bzoller/cmsc420/doc/cmsc420/drawing/CanvasPlus.html CanvasPlus] or generates an HTML file for the shortest path using [http://en.wikipedia.org/wiki/XSLT XSLT].

Revision as of 16:06, 30 September 2013

  • Not Current for Summer 2007 or 2008 ( no more btree---we use the b+ tree)
  • The official spec is Draft 2.1.
  • All files for part 2 (Summer 2010) can be found here.
  • As always, the spec will freeze 1 week prior to the due date.
  • Test Files

Overview[edit]

For this part of the project, you will implement a B+ Tree that implements the SortedMap interface. However, you do not need to implement deletion operations until Part 3. The B+tree will become the new data dictionary. The spatial map will now use a PM3 Quadtree to store both cities and roads. You will also be required to make a road adjacency list for use in finding the shortest path between two cities.

Data structures[edit]

  1. Data Dictionary (B+ tree for part 2)
  2. Spatial Map (PM3 Quadtree for part 2)
  3. Road Adjacency List

Commands[edit]

The operations you will need to implement are in the spec:

  • createCity: You will need to be able to add cities to the data dictionary. No two cities can have the same coordinates or name.
  • clearAll: Clears all of the data structures, removing all elements.
  • listCities: Output a sorted (XML) list of cities in the data dictionary.
  • printHeptaTrie: Prints the structure of your HeptaTrie using rules from Section 7 of the spec.
  • mapRoad: Map a road in the spatial map.
  • mapCity: Map a city in the spatial map.
  • printPMQuadtree: This outputs an XML (textual) representation of the spatial map.
  • saveMap: This outputs a visual representation (an image) of the spatial data structure. See CanvasPlus.
  • rangeCities: This searches the spatial data structure for all cities within a given radius of a given point. Optionally save a visual representation of the command to an image file.
  • rangeRoads: This searches the spatial data structure for all roads within a given radius of a given point.
  • nearestCity: This finds the nearest city in the spatial map to a given point.
  • nearestIsolatedCity: This finds the nearest isolated city in the spatial map to a given point.
  • nearestRoad: This finds the nearest road in the spatial map to a given point.
  • nearestCityToRoad: This finds the nearest road in the spatial map to a given point.
  • shortestPath: Computes the shortest path between two cities. Optionally saves the path to an image file using CanvasPlus or generates an HTML file for the shortest path using XSLT.