Journal of Risk Analysis and Crisis Response

Volume 9, Issue 1, March 2019, Pages 2 - 10

Geospatial Information Diffusion Technology Supporting by Background Data

Authors
Chongfu Huang1, 2, 3
1Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
2State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
3Faculty of Geographical Science, Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China
Received 20 December 2018, Accepted 10 January 2019, Available Online 29 March 2019.
DOI
https://doi.org/10.2991/jracr.b.190328.001How to use a DOI?
Keywords
geographic unit, background data, information diffusion, normal diffusion, self-learning discrete regression
Abstract

In this paper, we express the initial concept of geospatial information diffusion supporting by background data, which plays a role as a bridge to diffuse the information carried by the observations, obtained from observed units, to gap units. The self-learning discrete regression, based on the multivariate normal diffusion, is suggested to supplement incomplete geospatial data to be complete. The suggested method has obvious advantages over the geographic weighted regression and the artificial neural network for inferring the observations in gap units

Copyright
© 2019, The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
9 - 1
Pages
2 - 10
Publication Date
2019/03/29
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
https://doi.org/10.2991/jracr.b.190328.001How to use a DOI?
Copyright
© 2019, The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Chongfu Huang
PY  - 2019
DA  - 2019/03/29
TI  - Geospatial Information Diffusion Technology Supporting by Background Data
JO  - Journal of Risk Analysis and Crisis Response
SP  - 2
EP  - 10
VL  - 9
IS  - 1
SN  - 2210-8505
UR  - https://doi.org/10.2991/jracr.b.190328.001
DO  - https://doi.org/10.2991/jracr.b.190328.001
ID  - Huang2019
ER  -