APPLICATION FOR MEASURING REPRESENTATIVE VARIABLES OF COLLECTIVE SPACE INTELLIGENCE
| Autor: | Caio dos Anjos Paiva, Raphael Gonçalves de Campos, Silvana Philippi Camboim |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Volunteered geographic information
Technology Computer science media_common.quotation_subject Spatial intelligence Space (commercial competition) Python (programming language) Engineering (General). Civil engineering (General) Data science TA1501-1820 Scarcity Reference data Quality (business) Applied optics. Photonics TA1-2040 Spatial analysis computer media_common computer.programming_language |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W2-2021, Pp 119-122 (2021) |
| ISSN: | 2194-9034 1682-1750 |
| Popis: | The scarcity of metrics for analysing the quality of Voluntary Geographic Information without direct comparisons with reference data makes it impossible to use this information in many areas of society. Especially in developing countries, where collaborative data can help fill the deficit of official data, studies on intrinsic parameters of quality become an alternative to conventional comparative methods for evaluating spatial data. A recurring parameter in related research is Collective Spatial Intelligence. Seeking to offer researchers on the subject a tool capable of measuring the Collective Spatial Intelligence in predefined areas, we developed a Python application that counts representative values of this intelligence in political-administrative limits. Considering that, in general, the quality of spatial data is inferred on these limits, research that seeks to explain the VGI quality without using official data as a reference can be facilitated. |
| Databáze: | OpenAIRE |
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