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UID:pretalx-foss4g-2022-CQCGUA@talks.staging.osgeo.org
DTSTART;TZID=CET:20220824T171500
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DESCRIPTION:In 2012\, FAIMS project developed FAIMS Mobile\, an open-source
  platform for minting Android applications for offline human-mediated data
  collection on multiple tablets. Originally intended for archaeology\, thi
 s platform saw cross-disciplinary adoption including disciplines such as o
 ral tradition\, linguistics\, ecology and geochemistry.  Mobile GIS (provi
 ded by Nutiteq\, Estonia) was built into the core software from the start 
 providing the most essential geospatial functionality from management and 
 rendering user-owned raster and vector data\, to manual data creation\, ed
 iting\, retrieval\, and rendering. Automated data collection via onboard a
 nd bluetooth sensors was also implemented to support unique identifier gen
 eration and printing\, and other key tasks for field sample tracking.  Nav
 igation and spatial query facility existed. The simplified interface isola
 ted end-users from administrators\, with only the latter needing geospatia
 l skills and domain knowledge\, a division that facilitated data entry by 
 unskilled volunteers. Many of the geospatial functions\, however\, require
 d programming to customize. Given this barrier to entry\, only clients wit
 h access to a programmer could create customisations for geospatially-tail
 ored field data entry. Others had to run existing customisations\, publish
 ed on Github. Despite this bottleneck\, FAIMS 2.6 clients created a variet
 y of spatial data collection workflows\, from simple offline shape mapping
  to manual map data digitisation.\nIn 2022\, FAIMS project is rebuilding t
 he FAIMS Mobile platform to equip it with a graphic user interface for cus
 tomisation\, to allow cross-platform deployment\, and to implement ‘roun
 d trip’ data transfer to and from  existing desktop tools. We hope to re
 tain a robust geospatial data creation capability but aim to strip away fu
 nctionality that saw little use over the 10 previous years\, taking a 'jus
 t-enough-GIS' approach. As the architecture of FAIMS Mobile is changing fr
 om sqlite with spatialite extension to CouchDB/ PouchDB supporting geojson
 \, technical elaboration pointed to OpenLayers as the most appropriate and
  complete library for geospatial data collection and management. This pape
 r will examine the challenges and considerations of ‘just enough GIS’ 
 implemented with OpenLayers in a comprehensive mobile data capture applica
 tion.
DTSTAMP:20260403T192115Z
LOCATION:Modulo 0
SUMMARY:Just Enough GIS: Plugging Lightweight Mobile GIS into an Offline Fi
 eld Data Collection Platform - Adela Sobotkova\, Steve Cassidy
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/CQCGUA/
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