Improvement in the diffusion of geographic information u sing new technologies

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Improvement in the diffusion of geographic information using new technologies By Sébastien OLIVEAU, French Institute, Pondicherry French Institute of Pondicherry

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Improvement in the diffusion of geographic information u sing new technologies. F rench I nstitute. By Sébastien O LIVEAU, F rench I nstitute , P ondicherry. of P ondicherry. Introduction : Uses of geography in the development field. Acquiring the data Storage capacity Acquisition - PowerPoint PPT Presentation

Transcript of Improvement in the diffusion of geographic information u sing new technologies

Page 1: Improvement in the diffusion of geographic information u sing new technologies

Improvement in the diffusion

of geographic information

using new technologies

By Sébastien OLIVEAU,

French Institute, Pondicherry

French Institute

of Pondicherry

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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

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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

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A tool for development

(http://www.gisdevelopment.net/application/health/overview/healtho0002.htm)

Example of a software for simulating rainwater harvesting system

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A technical Support

Management (infrastructure, natural disaster…)

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An Help for decision-making

(http://www.gisdevelopment.net/application/health/overview/healtho0002.htm)

Example of an health atlas prepared by NATMO

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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

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Introduction

Acquiring the data

• Storage capacity

• Acquisition

• Problem of access to map

Processing the data

Diffusing the data

Conclusion

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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

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Storage capacity :

It’s now possible to stock geographic

information for all the south indian villages…

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Storage capacity :

… and to analyze them to produce

new information, in a synthetic way.

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Acquisition :

Acquisition through automatic procedure:

the Eicher’s city mapof Chennai

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Problem of access to map :

Census Of India map

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(Necessity to cross the sources)

Problem of access to map :

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Problem of access to map :

(www.spaceimaging.com)

Free satellite image of Chennai

The port

Madras University

TIDEL Park

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Problem of access to map :

(http://factfinder.census.gov/)

Free map provided by the US census

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Introduction

Acquiring the data

Processing the data

• Mapping the data

• New approaches to mapping

Diffusing the data

Conclusion

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Mapping the data :

From Davis, B, (1996), GIS: a visual approach, Onword press, Santa Fe (USA)

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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

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Introduction

Acquiring the data

Processing the data

Diffusing the data

• New way of diffusing maps

• Interactivity

Conclusion

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New way ofdiffusing maps :

(http://censusindia.net/)

One of the first census map in 2001

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(http://www.usp.ac.fj/~gisunit/pacatlas/atlas.htm)

New way ofdiffusing maps :

An example of an atlas available on the net

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An example of an atlas on CD(Atlas du Languedoc Roussillon, GIP RECLUS, Montpellier)

New way ofdiffusing maps :

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Interactivity :

(http://factfinder.census.gov/)

Interactive mappingInteractive mapping

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Introduction

Acquiring the data

Processing the data

Diffusing the data

Conclusion : The SIPIS project

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S.I.P.I.S.South Indian Population Information System

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South Indian Population Information System

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South Indian Population Information System

Census map

Old toposheet

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South Indian Population Information System

Mixing of sources through Geographic Information System (GIS)

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South Indian Population Information System

Digitalization of villages

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South Indian Population Information System

17 000 Tamil villages linked with their census statistics…

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South Indian Population Information System

Importation of various sources

(rivers from ESRI; Elevation was found on the Internet)

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South Indian Population Information System

New way of mapping:

Interpolation of the census data related to irrigation

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South Indian Population Information System

Querying the data through the map

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South Indian Population Information System

Interactive Cartography

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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

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Improvement in the diffusionof geographic informationusing new technologies

By Sébastien OLIVEAU,

[email protected]

French Institute

11 Saint Louis Street

605001 Pondicherry