{"id":389,"date":"2016-03-08T19:16:55","date_gmt":"2016-03-08T18:16:55","guid":{"rendered":"http:\/\/blog.datashine.org.uk\/?p=389"},"modified":"2019-10-15T12:12:43","modified_gmt":"2019-10-15T11:12:43","slug":"datashine-papers","status":"publish","type":"post","link":"https:\/\/blog.datashine.org.uk\/2016\/03\/datashine-papers\/","title":{"rendered":"DataShine Papers!"},"content":{"rendered":"\n
\"ds_paper\"<\/figure><\/div>\n\n\n\n

If you are looking to name-check DataShine in a paper, then we now have the citation for you! Interactive mapping for large, open demographic data sets using familiar geographical features<\/a> is our paper (authors Oliver O’Brien and James Cheshire), published in Journal of Maps<\/i>, as open access, so you can read it right now. \u00a0<\/p>\n\n\n\n

To cite DataShine or this paper, please use:<\/p>\n\n\n\n

Oliver O’Brien & James Cheshire\u00a0(2016)\u00a0Interactive mapping for large, open demographic data sets using familiar geographical features,\u00a0Journal of Maps,\u00a012:4,\u00a0676-683,\u00a0DOI:\u00a010.1080\/17445647.2015.1060183<\/a><\/p><\/blockquote>\n\n\n\n

There is also a paper published by a colleague at the UCL Centre for Advanced Spatial Analysis (CASA), Duncan Smith – Online interactive thematic mapping: Applications and techniques for socio-economic research<\/a>. It’s published in Computers, Environment and Urban Systems<\/i>. Duncan reviews DataShine as well as a number of other ways of mapping large demographic datasets. It includes statistics on our user-base that you won’t have seen announced\/published anywhere else. This paper is also open access.\u00a0
<\/p>\n","protected":false},"excerpt":{"rendered":"

If you are looking to name-check DataShine in a paper, then we now have the citation for you! Interactive mapping for large, open demographic data sets using familiar geographical features is our paper (authors Oliver O’Brien and James Cheshire), published in Journal of Maps, as open access, so you can read it right now. \u00a0 … Continue reading DataShine Papers!<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[2],"tags":[],"_links":{"self":[{"href":"https:\/\/blog.datashine.org.uk\/wp-json\/wp\/v2\/posts\/389"}],"collection":[{"href":"https:\/\/blog.datashine.org.uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.datashine.org.uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.datashine.org.uk\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.datashine.org.uk\/wp-json\/wp\/v2\/comments?post=389"}],"version-history":[{"count":19,"href":"https:\/\/blog.datashine.org.uk\/wp-json\/wp\/v2\/posts\/389\/revisions"}],"predecessor-version":[{"id":477,"href":"https:\/\/blog.datashine.org.uk\/wp-json\/wp\/v2\/posts\/389\/revisions\/477"}],"wp:attachment":[{"href":"https:\/\/blog.datashine.org.uk\/wp-json\/wp\/v2\/media?parent=389"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.datashine.org.uk\/wp-json\/wp\/v2\/categories?post=389"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.datashine.org.uk\/wp-json\/wp\/v2\/tags?post=389"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}