Learning Centre

Spatial Variation in Seasonal Water Poverty Index for Laos: An Application of Geographically Weighted Principal Component Analysis

 |  Login

Show simple item record

dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Kallio, Marko
dc.contributor.author Guillaume, Joseph
dc.contributor.author Kummu, Matti
dc.contributor.author Virrantaus, Kirsi-Kanerva
dc.date.accessioned 2018-02-09T10:02:13Z
dc.date.available 2018-02-09T10:02:13Z
dc.date.issued 2018-12-01
dc.identifier.citation Kallio , M , Guillaume , J , Kummu , M & Virrantaus , K-K 2018 , ' Spatial Variation in Seasonal Water Poverty Index for Laos: An Application of Geographically Weighted Principal Component Analysis ' , Social Indicators Research , vol. 140 , no. 3 , pp. 1131-1157 . https://doi.org/10.1007/s11205-017-1819-6 en
dc.identifier.issn 0303-8300
dc.identifier.other PURE UUID: 93aa712f-bb55-4a14-9caf-012109b31fdc
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/93aa712f-bb55-4a14-9caf-012109b31fdc
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85038030609&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/31051790/ENG_Kallio_Marko_et_al_Spatial_variation_in_seasonal_Social_indicators_research.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/29911
dc.description.abstract Water poverty, defined as insufficient water of adequate quality to cover basic needs, is an issue that may manifest itself in multiple ways. Extreme seasonal variation in water availability, such as in Laos, located in Monsoon Asia, results in large differences in water poverty conditions between dry and wet seasons. In this study, seasonal Water Poverty Indices (WPI) are developed for 8215 villages in Laos. WPI is a multidimensional composite index integrating five dimensions of water: resource availability, access to safe water, capacity to manage the resource, its use and environmental requirements. Principal Component Analysis (PCA) and Geographically Weighted PCA (GWPCA) were used to examine drivers of water poverty and to derive different weighting schemes. Three major drivers were identified: poverty, commercial/subsistence agriculture and village location. The least water poor areas are located around the capital city and along the Mekong River Valley while the highest water poverty is found in sparsely populated mountainous areas. Wet season WPI is on average more than 12 index points higher than in the dry season, but in some villages monsoon rain does not improve the situation. The results indicate large spatial and temporal differences in WPI within Laos. In analysis of WPI components, a mean–variance scaled PCA is recommended due to its capacity for uncovering processes driving water poverty. Extending to GWPCA is recommended when information on local differences is of interest. en
dc.format.extent 27
dc.format.extent 1-27
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries Social Indicators Research en
dc.rights openAccess en
dc.title Spatial Variation in Seasonal Water Poverty Index for Laos: An Application of Geographically Weighted Principal Component Analysis en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Geoinformatics
dc.contributor.department Department of Built Environment
dc.subject.keyword Water Poverty Index
dc.subject.keyword Geographically weighted principal component analysis
dc.subject.keyword Monsoon
dc.subject.keyword Water poverty
dc.subject.keyword Spatio-temporal analysis
dc.subject.keyword Laos
dc.identifier.urn URN:NBN:fi:aalto-201802091408
dc.identifier.doi 10.1007/s11205-017-1819-6
dc.date.embargo info:eu-repo/date/embargoEnd/2019-12-01

Files in this item

Files Size Format View

There are no open access files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search archive

Advanced Search

article-iconSubmit a publication