Mapping inequality in access to resources in R : powerpoint + abstract

A.D. Nelson, Javob van Etten, Dan Weiss

Research output: Contribution to conferenceOtherOther research output

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Abstract

More equal access to the resources that sustain human well-being, such as education, employment and health services, underpins the equality agenda of 'leaving no one behind' established by the Sustainable Development Goals of the United Nations. Accessibility can be defined as the ability to interact with locations that offer economic and social opportunities; better access usually means better opportunities and better livelihood outcomes. The accessibility of a particular location can be quantified in several ways: equity (i.e. proximity based on distance or travel time); coverage (i.e. the number of reachable resources per person), or; integration (i.e. the likelihood of interactions or the cost of transactions).

Spatial modelling of accessibility uses the geographic location of the population in relation to target locations and the transport means and infrastructure to access those locations. This presentation discusses (i) recent work on mapping equity in access in R using the gdistance package, (ii) options for mapping other access indicators in R and (iii) the importance of good, up to date and easy to use transport network data for accessibility mapping.
Original languageEnglish
Number of pages1
Publication statusPublished - 2018
EventFree and Open Source Software for Geospatial, FOSS4G 2018 - Arusha International Conference Centre, Dar es Salaam, Tanzania, United Republic of
Duration: 29 Aug 201831 Aug 2018
https://2018.foss4g.org/

Conference

ConferenceFree and Open Source Software for Geospatial, FOSS4G 2018
Abbreviated titleFOSS4G
CountryTanzania, United Republic of
CityDar es Salaam
Period29/08/1831/08/18
Internet address

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accessibility
resource
equity
health services
United Nations
travel time
sustainable development
infrastructure
education
economics
cost
modeling

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Nelson, A. D., van Etten, J., & Weiss, D. (2018). Mapping inequality in access to resources in R : powerpoint + abstract. Free and Open Source Software for Geospatial, FOSS4G 2018, Dar es Salaam, Tanzania, United Republic of.
Nelson, A.D. ; van Etten, Javob ; Weiss, Dan. / Mapping inequality in access to resources in R : powerpoint + abstract. Free and Open Source Software for Geospatial, FOSS4G 2018, Dar es Salaam, Tanzania, United Republic of.1 p.
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Nelson, AD, van Etten, J & Weiss, D 2018, 'Mapping inequality in access to resources in R : powerpoint + abstract' Free and Open Source Software for Geospatial, FOSS4G 2018, Dar es Salaam, Tanzania, United Republic of, 29/08/18 - 31/08/18, .

Mapping inequality in access to resources in R : powerpoint + abstract. / Nelson, A.D.; van Etten, Javob ; Weiss, Dan.

2018. Free and Open Source Software for Geospatial, FOSS4G 2018, Dar es Salaam, Tanzania, United Republic of.

Research output: Contribution to conferenceOtherOther research output

TY - CONF

T1 - Mapping inequality in access to resources in R : powerpoint + abstract

AU - Nelson, A.D.

AU - van Etten, Javob

AU - Weiss, Dan

PY - 2018

Y1 - 2018

N2 - More equal access to the resources that sustain human well-being, such as education, employment and health services, underpins the equality agenda of 'leaving no one behind' established by the Sustainable Development Goals of the United Nations. Accessibility can be defined as the ability to interact with locations that offer economic and social opportunities; better access usually means better opportunities and better livelihood outcomes. The accessibility of a particular location can be quantified in several ways: equity (i.e. proximity based on distance or travel time); coverage (i.e. the number of reachable resources per person), or; integration (i.e. the likelihood of interactions or the cost of transactions). Spatial modelling of accessibility uses the geographic location of the population in relation to target locations and the transport means and infrastructure to access those locations. This presentation discusses (i) recent work on mapping equity in access in R using the gdistance package, (ii) options for mapping other access indicators in R and (iii) the importance of good, up to date and easy to use transport network data for accessibility mapping.

AB - More equal access to the resources that sustain human well-being, such as education, employment and health services, underpins the equality agenda of 'leaving no one behind' established by the Sustainable Development Goals of the United Nations. Accessibility can be defined as the ability to interact with locations that offer economic and social opportunities; better access usually means better opportunities and better livelihood outcomes. The accessibility of a particular location can be quantified in several ways: equity (i.e. proximity based on distance or travel time); coverage (i.e. the number of reachable resources per person), or; integration (i.e. the likelihood of interactions or the cost of transactions). Spatial modelling of accessibility uses the geographic location of the population in relation to target locations and the transport means and infrastructure to access those locations. This presentation discusses (i) recent work on mapping equity in access in R using the gdistance package, (ii) options for mapping other access indicators in R and (iii) the importance of good, up to date and easy to use transport network data for accessibility mapping.

UR - https://library.itc.utwente.nl/papers_2018/pres/nelson_map_ppt.pptx

M3 - Other

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Nelson AD, van Etten J, Weiss D. Mapping inequality in access to resources in R : powerpoint + abstract. 2018. Free and Open Source Software for Geospatial, FOSS4G 2018, Dar es Salaam, Tanzania, United Republic of.