The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B4-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 275–280, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-275-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 275–280, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-275-2021

  30 Jun 2021

30 Jun 2021

ARCHITECTING LOCATION INTELLIGENCE PLATFORMS USING OPEN-SOURCE COMPONENTS

A. Benahmed Daho and H. Bekhelifi A. Benahmed Daho and H. Bekhelifi
  • TransformaTek, SARL (LLC), Ain Temouchent, Algeria

Keywords: GIS, Cloud Architecture, Location intelligence, Agile approach, GeoNode, Source control

Abstract. Location Intelligence is an emerging application of geospatial industry. It allows professionals from different business domains (finance, disaster management, retail, health) and with minimum expertise in GIS technologies to use efficiently many spatial analysis tools and algorithms to solve their day-to-day problems. One of the major characteristics of Location Intelligence is the use of multisource and alternative data either user ingested or directly available in the platform (by geo-enrichment).

In this contribution we investigate the architectural challenges raised by the development of this kind of platforms, particularly in term of functionalities, use of open-source components, management practices, deployment on the Cloud and source code control. To validate our assumptions, we built a new platform, named “Geoweba”, based on the GeoNode Project and having as objective to disrupt the Algerian consulting market. The resulting platform is deployed on the internet and freely available for users. In this contribution we demonstrate that our development approach based on Agile principles and open-source components gives a good result, mainly in the early stages when just a Minimum Viable Product (MVP) is needed for market validation of the idea.