SlideShare une entreprise Scribd logo
1  sur  5
Aerial Photographs with Responsive Legends Aidan Slingsby, Jason Dykes and Jo Wood giCentre, City University London http://gicentre.org/
Aim ,[object Object],[object Object],[object Object],[object Object],[object Object]
 
Conclusions ,[object Object],[object Object]
http://gicentre.org/ukmap/

Contenu connexe

Plus de GISRUK conference

7B_3_Matterhorn on the horizon
7B_3_Matterhorn on the horizon7B_3_Matterhorn on the horizon
7B_3_Matterhorn on the horizonGISRUK conference
 
7B_2_Topological consistent generalization of openstreetmap
7B_2_Topological consistent generalization of openstreetmap7B_2_Topological consistent generalization of openstreetmap
7B_2_Topological consistent generalization of openstreetmapGISRUK conference
 
7A_4_Gps data collection setting for pedestrian activity modelling
7A_4_Gps data collection setting for pedestrian activity modelling7A_4_Gps data collection setting for pedestrian activity modelling
7A_4_Gps data collection setting for pedestrian activity modellingGISRUK conference
 
5A_3_GIS based spatial modelling for improving the sustainability of aggregat...
5A_3_GIS based spatial modelling for improving the sustainability of aggregat...5A_3_GIS based spatial modelling for improving the sustainability of aggregat...
5A_3_GIS based spatial modelling for improving the sustainability of aggregat...GISRUK conference
 
5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods
5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods
5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methodsGISRUK conference
 
4B_3_Automatically generating keywods for georeferenced imaged
4B_3_Automatically generating keywods for georeferenced imaged4B_3_Automatically generating keywods for georeferenced imaged
4B_3_Automatically generating keywods for georeferenced imagedGISRUK conference
 
4B_1_How many volunteers does it take to map an area well
4B_1_How many volunteers does it take to map an area well4B_1_How many volunteers does it take to map an area well
4B_1_How many volunteers does it take to map an area wellGISRUK conference
 
4A_1_Uncertainty in the 2001 output area classification for the census of eng...
4A_1_Uncertainty in the 2001 output area classification for the census of eng...4A_1_Uncertainty in the 2001 output area classification for the census of eng...
4A_1_Uncertainty in the 2001 output area classification for the census of eng...GISRUK conference
 
3A_4_Applying network analysis to quantify accessibility to urban greenspace ...
3A_4_Applying network analysis to quantify accessibility to urban greenspace ...3A_4_Applying network analysis to quantify accessibility to urban greenspace ...
3A_4_Applying network analysis to quantify accessibility to urban greenspace ...GISRUK conference
 
3A_2_Modelling health-harming behaviours in a socially ranked geographic space
3A_2_Modelling health-harming behaviours in a socially ranked geographic space3A_2_Modelling health-harming behaviours in a socially ranked geographic space
3A_2_Modelling health-harming behaviours in a socially ranked geographic spaceGISRUK conference
 
1A_3_A geodemographic classification of london primary schools
1A_3_A geodemographic classification of london primary schools1A_3_A geodemographic classification of london primary schools
1A_3_A geodemographic classification of london primary schoolsGISRUK conference
 
SP_4 Supporting spatial negotiations in land use planning
SP_4 Supporting spatial negotiations in land use planningSP_4 Supporting spatial negotiations in land use planning
SP_4 Supporting spatial negotiations in land use planningGISRUK conference
 
SP_3 Automatic identification of high streets and classification of urban lan...
SP_3 Automatic identification of high streets and classification of urban lan...SP_3 Automatic identification of high streets and classification of urban lan...
SP_3 Automatic identification of high streets and classification of urban lan...GISRUK conference
 
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...9B_1_Trust in web gis a preliminary investigation of the environment agencys ...
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...GISRUK conference
 
9A_2_Automatic classification of retail spaces from a large scale topographc ...
9A_2_Automatic classification of retail spaces from a large scale topographc ...9A_2_Automatic classification of retail spaces from a large scale topographc ...
9A_2_Automatic classification of retail spaces from a large scale topographc ...GISRUK conference
 
9A_1_On automatic mapping of environmental data using adaptive general regres...
9A_1_On automatic mapping of environmental data using adaptive general regres...9A_1_On automatic mapping of environmental data using adaptive general regres...
9A_1_On automatic mapping of environmental data using adaptive general regres...GISRUK conference
 
8B_4_Exploring the usability of geographic information
8B_4_Exploring the usability of geographic information8B_4_Exploring the usability of geographic information
8B_4_Exploring the usability of geographic informationGISRUK conference
 
8B_2_Using sound to represent uncertainty in address locations
8B_2_Using sound to represent uncertainty in address locations8B_2_Using sound to represent uncertainty in address locations
8B_2_Using sound to represent uncertainty in address locationsGISRUK conference
 
8B_1_A map to hear - use of sound in enhancing the map use experience
8B_1_A map to hear - use of sound in enhancing the map use experience8B_1_A map to hear - use of sound in enhancing the map use experience
8B_1_A map to hear - use of sound in enhancing the map use experienceGISRUK conference
 
8A_2_A containment-first search algorithm for higher-order analysis of urban ...
8A_2_A containment-first search algorithm for higher-order analysis of urban ...8A_2_A containment-first search algorithm for higher-order analysis of urban ...
8A_2_A containment-first search algorithm for higher-order analysis of urban ...GISRUK conference
 

Plus de GISRUK conference (20)

7B_3_Matterhorn on the horizon
7B_3_Matterhorn on the horizon7B_3_Matterhorn on the horizon
7B_3_Matterhorn on the horizon
 
7B_2_Topological consistent generalization of openstreetmap
7B_2_Topological consistent generalization of openstreetmap7B_2_Topological consistent generalization of openstreetmap
7B_2_Topological consistent generalization of openstreetmap
 
7A_4_Gps data collection setting for pedestrian activity modelling
7A_4_Gps data collection setting for pedestrian activity modelling7A_4_Gps data collection setting for pedestrian activity modelling
7A_4_Gps data collection setting for pedestrian activity modelling
 
5A_3_GIS based spatial modelling for improving the sustainability of aggregat...
5A_3_GIS based spatial modelling for improving the sustainability of aggregat...5A_3_GIS based spatial modelling for improving the sustainability of aggregat...
5A_3_GIS based spatial modelling for improving the sustainability of aggregat...
 
5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods
5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods
5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods
 
4B_3_Automatically generating keywods for georeferenced imaged
4B_3_Automatically generating keywods for georeferenced imaged4B_3_Automatically generating keywods for georeferenced imaged
4B_3_Automatically generating keywods for georeferenced imaged
 
4B_1_How many volunteers does it take to map an area well
4B_1_How many volunteers does it take to map an area well4B_1_How many volunteers does it take to map an area well
4B_1_How many volunteers does it take to map an area well
 
4A_1_Uncertainty in the 2001 output area classification for the census of eng...
4A_1_Uncertainty in the 2001 output area classification for the census of eng...4A_1_Uncertainty in the 2001 output area classification for the census of eng...
4A_1_Uncertainty in the 2001 output area classification for the census of eng...
 
3A_4_Applying network analysis to quantify accessibility to urban greenspace ...
3A_4_Applying network analysis to quantify accessibility to urban greenspace ...3A_4_Applying network analysis to quantify accessibility to urban greenspace ...
3A_4_Applying network analysis to quantify accessibility to urban greenspace ...
 
3A_2_Modelling health-harming behaviours in a socially ranked geographic space
3A_2_Modelling health-harming behaviours in a socially ranked geographic space3A_2_Modelling health-harming behaviours in a socially ranked geographic space
3A_2_Modelling health-harming behaviours in a socially ranked geographic space
 
1A_3_A geodemographic classification of london primary schools
1A_3_A geodemographic classification of london primary schools1A_3_A geodemographic classification of london primary schools
1A_3_A geodemographic classification of london primary schools
 
SP_4 Supporting spatial negotiations in land use planning
SP_4 Supporting spatial negotiations in land use planningSP_4 Supporting spatial negotiations in land use planning
SP_4 Supporting spatial negotiations in land use planning
 
SP_3 Automatic identification of high streets and classification of urban lan...
SP_3 Automatic identification of high streets and classification of urban lan...SP_3 Automatic identification of high streets and classification of urban lan...
SP_3 Automatic identification of high streets and classification of urban lan...
 
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...9B_1_Trust in web gis a preliminary investigation of the environment agencys ...
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...
 
9A_2_Automatic classification of retail spaces from a large scale topographc ...
9A_2_Automatic classification of retail spaces from a large scale topographc ...9A_2_Automatic classification of retail spaces from a large scale topographc ...
9A_2_Automatic classification of retail spaces from a large scale topographc ...
 
9A_1_On automatic mapping of environmental data using adaptive general regres...
9A_1_On automatic mapping of environmental data using adaptive general regres...9A_1_On automatic mapping of environmental data using adaptive general regres...
9A_1_On automatic mapping of environmental data using adaptive general regres...
 
8B_4_Exploring the usability of geographic information
8B_4_Exploring the usability of geographic information8B_4_Exploring the usability of geographic information
8B_4_Exploring the usability of geographic information
 
8B_2_Using sound to represent uncertainty in address locations
8B_2_Using sound to represent uncertainty in address locations8B_2_Using sound to represent uncertainty in address locations
8B_2_Using sound to represent uncertainty in address locations
 
8B_1_A map to hear - use of sound in enhancing the map use experience
8B_1_A map to hear - use of sound in enhancing the map use experience8B_1_A map to hear - use of sound in enhancing the map use experience
8B_1_A map to hear - use of sound in enhancing the map use experience
 
8A_2_A containment-first search algorithm for higher-order analysis of urban ...
8A_2_A containment-first search algorithm for higher-order analysis of urban ...8A_2_A containment-first search algorithm for higher-order analysis of urban ...
8A_2_A containment-first search algorithm for higher-order analysis of urban ...
 

UK Map Challenge Aidan Slingsby