DMCA
Dynamic Surveying Adjustments for Crowd-sourced Data Observa- tions
BibTeX
@MISC{Pawlowicz_dynamicsurveying,
author = {Sergiusz Pawlowicz and Didier Leibovici and Roy Heines-young and Richard Saull and Mike Jackson},
title = {Dynamic Surveying Adjustments for Crowd-sourced Data Observa- tions},
year = {}
}
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Abstract
Advances in positioning, imaging, location-based services capabilities, and broadband connectivity enable public participation in environmental monitoring and decision making in a manner previously only possible for professional scientists. Data collected by volunteers has long been an important factor in environmental programmes, but the dif-ficulties in applying quality control measures and in ensuring an appropriate sample size of observations for a given area limit their scientific value. This paper addresses this challenge in describing a surveying architecture, allowing efficient in-field data collection from a GPS enabled ubiquitous device. The originality of this architecture comes from a real-time analysis of surveyed responses in order to “drive ” the survey for optimised precision and validity. Spatial awareness from the surveying engine allows one to modify the sets of questions for each surveyor volunteer as the survey goes along, and even to try to recruit volunteers in the area. As a result this architecture is able to sup-port the implementation of a dynamic and directed approach to in-field data collection with real-time quality control driven by an adaptive surveying modelling technique insuring optimised data collection and personalised feedback to users. A plug-in architecture gives the possibility to extend using RSS, Twitter and Mappiness data sources, with other real time feeds, then allowing the adaptive surveying engine to use multilevel multi-sourced sets of informa-tion. The paper describes this conceptual architecture and a technical solution for its implementation, independent of the mobile hardware producer, tablets, smart phones, netbooks, laptops, in order to allow the widest public participation opportunity possible. The implementation was tested on Google Android and Apple iPhone devices with a use case coming from the Tranquillity Report of the Campaign to Protect Rural England (CPRE). 1.
Keyphrases
crowd-sourced data observa tions dynamic surveying adjustment ubiquitous device conceptual architecture adaptive surveying engine optimised precision spatial awareness broadband connectivity enable public participation quality control measure decision making location-based service capability appropriate sample size environmental programme smart phone apple iphone device real-time analysis plug-in architecture in-field data collection important factor google android scientific value surveyor volunteer environmental monitoring data collection adaptive surveying modelling technique public participation opportunity real time feed rural england tranquillity report multilevel multi-sourced set mobile hardware producer efficient in-field data collection use case surveying architecture technical solution mappiness data source real-time quality control professional scientist
