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Intégration d'un observatoire urbain sur Google Maps

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par Renal Paul TATSO
Univsersité de Douala/Université de Paris-Est Marne La Valléé - Master II IASIG 2011
  

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ABSTRACT

The spectacular advances computer science applied to geographic information systems (GIS) in recent times has favored the emergence of several technological solutions. These developments have given rise to enormous opportunities for digital management of the territory. Among the technological solutions, the most famous Google Maps offers free online mapping dynamic exhaustive of the Maps. In addition to meet the enormous needs of urban indicators geotagged information, we did work on this project «Integration of an urban observatory on Google Maps

The problem of geolocation in the urban observatory is particularly relevant in the sense that there is currently no data (descriptive and geographical) reliable on the urban sector; we must stick to extrapolate from data old and obsolete. This helps to curb the effectiveness of urban management to make difficult investment programming and to prevent the acquisition of knowledge to make cities engines of growth. The use of a geolocation tool coupled to the data would allow better monitoring of indicators

Our project's objective is to develop an interactive map server (WebMapping) which map layer is formed from the resources of the Google Maps servers and match information from the field to produce maps of urban equipment and infrastructure of a city data to the client's request

To achieve this goal, we will participate in a study of a GPS location of strategic sites in our core sector (health facilities), on the other hand, using information from the field, we will build a postgresql database that will link the information from the field to map from Google Maps via KML scripts and PHP appropriate.

We will limit ourselves in our work to the city of Douala Cameroon with the sectors of health facilities with the possibility of extension to other areas and other cities.

Keywords: Geographic Information System (GIS), Thematic Mapping, Web Mapping, data mining, Google API.

LISTE DES FIGURES

Figure 1. Vue de la ville de Douala 19

Figure 2. Composants d'un SIG 29

Figure 3. Les 03 dimensions d'un SIG 26

Figure 4. Latitude et Longitude d'un lieu 28

Figure 5. Représentation des données Raster 29

Figure 6. photo aérienne 30

Figure 7. image optique 30

Figure 8. Image radar 30

Figure 9. Carte scannée 31

Figure 10. Fonctionnement d'un SIG 32

Figure 11. Architecture d'un serveur cartographique sur internet 33

Figure 12. Les 3 segments du système GPS 37

Figure 13. Acteur UML 41

Figure 14. Diagramme des cas d'utilisation. 41

Figure 15. Exemple de Diagramme des séquences fonctionnel 43

Figure 16. Exemple de Diagramme des séquences conceptuel 45

Figure 17. Exemple Diagramme des activités 47

Figure 18. Exemple de Diagramme de classe 48

Figure 19. cas d'utilisation Ajouter utilisateur 52

Figure 20. Diagramme des cas d'utilisation VisioCity 52

Figure 21. Extrait du Diagramme des séquences VISO CITY 53

Figure 22. Aperçu du Diagramme des classes de VISIO CITY 54

Figure 23. Architecture de VisioCity 56

Figure 24. Environnement de programmation DreamWeaver 8. 59

Figure 25. Interface de PhpMyAdmin 61

Figure 26. Schéma relationnel de la base de données 65

Figure 27. Formulaire d'enregistrement des sites géo 68

Figure 28. Formulaire de contrôle d'accès 69

Figure 29. Interface public de visiocity 69

Figure 30. Interface d'administration de visiocity 69

Figure 31. Interface d'abonnement de VisoCity 70

Figure 32. GPS GARMIN OREGON 550t 71

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