Post on 21-Jan-2016
description
Improvement in the diffusion
of geographic information
using new technologies
By Sébastien OLIVEAU,
French Institute, Pondicherry
French Institute
of Pondicherry
Introduction : Uses of geography in the development field.
Acquiring the data
• Storage capacity
• Acquisition
• Problem of access to map
Processing the data
• Mapping the data
• New approaches to mapping
Diffusing the data
• New way of diffusing maps
• Interactivity
Conclusion : The SIPIS project
Introduction Uses of geography in the development field.
• A tool for development
• A technical Support
• An Help for decision-making
• What is Geographic information ?
Acquiring the data
Processing the data
Diffusing the data
Conclusion
A tool for development
(http://www.gisdevelopment.net/application/health/overview/healtho0002.htm)
Example of a software for simulating rainwater harvesting system
A technical Support
Management (infrastructure, natural disaster…)
An Help for decision-making
(http://www.gisdevelopment.net/application/health/overview/healtho0002.htm)
Example of an health atlas prepared by NATMO
What is Geographic Information ?
=
Name Population Growth %Agra 61431 39,37998Ahmadabad 1003917 36,44273Allahabad 1049579 24,2773Amritsar 1011327 42,67453Asansol 1090171 42,70393Bangalore 1394621 37,68638Bhopal 20955 36,89026Chennai 2208356 18,4921Coimbatore 50981 31,36854Delhi 2974019 51,93408Dhanbad 1064357 30,59515Faridabad 47,03302Greater Mumbai 4453686 29,94417Hyderabad 2083762 27,37301Indore 41603 47,78731Jabalpur 1117200 25,68117Jaipur 53,09349Jamshedpur 1101804 32,88019Kanpur 158348 32,5435Kochi 1355406 18,8322Kolkata 8636002 19,91149Lucknow 59593 35,80922Ludhiana 33,78723Madurai 1194665 10,0147Meerut 93170 37,37354Nagpur 71645 27,58157Nashik 75081 58,82847Patna 330479 55,27065Pune 1215456 50,58318Rajkot 1002160 53,12075Surat 377679 85,09273Vadodara 186363 32,44287Varanasi 111001 17,54705Vijayawada 1011152 19,55599Visakhapatnam 1329472 25,76382
DATA
longitude latitude78,0093 27,177772,5669 23,039881,8284 25,44374,8716 31,630986,9733 23,687277,5877 12,974877,4118 23,229880,2478 13,061576,9707 11,005277,2168 28,568786,4351 23,78777,3031 28,382272,8264 19,077478,485 17,3945
75,8665 22,727179,9442 23,163675,8013 26,905186,209 22,7785
80,3179 26,457876,2251 10,01288,3342 22,543580,9197 26,849475,8468 30,906178,1217 9,9139977,7037 28,991679,0891 21,155873,7809 20,000785,1353 25,613973,8523 18,535770,7984 22,296972,8195 21,19573,1876 22,306682,9563 25,28280,6315 16,511483,2955 17,7144
Geo
refe
renc
e+
Introduction
Acquiring the data
• Storage capacity
• Acquisition
• Problem of access to map
Processing the data
Diffusing the data
Conclusion
Storage capacity :
increase in speed of releasing census data on different format
1991: census operation
1994: All India Data at village level on CD
2000: last book released
1991 Census
February 2001: census operation
June 2001: first maps on the web
July 2001 : first books and CDs released
2001 Census
Storage capacity :
It’s now possible to stock geographic
information for all the south indian villages…
Storage capacity :
… and to analyze them to produce
new information, in a synthetic way.
Acquisition :
Acquisition through automatic procedure:
the Eicher’s city mapof Chennai
Problem of access to map :
Census Of India map
(Necessity to cross the sources)
Problem of access to map :
Problem of access to map :
(www.spaceimaging.com)
Free satellite image of Chennai
The port
Madras University
TIDEL Park
Problem of access to map :
(http://factfinder.census.gov/)
Free map provided by the US census
Introduction
Acquiring the data
Processing the data
• Mapping the data
• New approaches to mapping
Diffusing the data
Conclusion
Mapping the data :
From Davis, B, (1996), GIS: a visual approach, Onword press, Santa Fe (USA)
New approach of mapping :
More than 70,000 villages
2nd step: Interpolation
classification
1st step: Aggregation
Less than 7 000 units
3rd step: contouring
Final map
Introduction
Acquiring the data
Processing the data
Diffusing the data
• New way of diffusing maps
• Interactivity
Conclusion
New way ofdiffusing maps :
(http://censusindia.net/)
One of the first census map in 2001
(http://www.usp.ac.fj/~gisunit/pacatlas/atlas.htm)
New way ofdiffusing maps :
An example of an atlas available on the net
An example of an atlas on CD(Atlas du Languedoc Roussillon, GIP RECLUS, Montpellier)
New way ofdiffusing maps :
Interactivity :
(http://factfinder.census.gov/)
Interactive mappingInteractive mapping
Introduction
Acquiring the data
Processing the data
Diffusing the data
Conclusion : The SIPIS project
S.I.P.I.S.South Indian Population Information System
South Indian Population Information System
South Indian Population Information System
Census map
Old toposheet
South Indian Population Information System
Mixing of sources through Geographic Information System (GIS)
South Indian Population Information System
Digitalization of villages
South Indian Population Information System
17 000 Tamil villages linked with their census statistics…
South Indian Population Information System
Importation of various sources
(rivers from ESRI; Elevation was found on the Internet)
South Indian Population Information System
New way of mapping:
Interpolation of the census data related to irrigation
South Indian Population Information System
Querying the data through the map
South Indian Population Information System
Interactive Cartography
Storage capacity : 17,000 villages, 250 towns & cities, more than 100 attributes for each (more than 150 Mo of data)
Numeric acquisition: easy update possible with the 2001 census data
Interactivity: querying of the data linked with map
Interactivity: interactive cartography
New way of mapping: trend maps of socio-cultural phenomena (literacy, sex-ratio…)
Numeric acquisition: easy mixing of various sources
Improvement in the diffusionof geographic informationusing new technologies
By Sébastien OLIVEAU,
oliveau@ifpindia.org
French Institute
11 Saint Louis Street
605001 Pondicherry