{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T20:07:19Z","timestamp":1760386039518,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,6]]},"DOI":"10.1109\/geoinformatics.2013.6626145","type":"proceedings-article","created":{"date-parts":[[2013,10,17]],"date-time":"2013-10-17T21:46:54Z","timestamp":1382046414000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Spatial heterogeneity of urban residential carbon emissions in China"],"prefix":"10.1109","author":[{"given":"Jinping","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yaochen","family":"Qin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"13","doi-asserted-by":"crossref","first-page":"3513","DOI":"10.1080\/00036846.2011.577023","article-title":"Empirical study on the determinants of CO2 emissions: Evidence from OECD countries","volume":"44","author":"iwata","year":"2011","journal-title":"Applied Economics"},{"journal-title":"Spatial Patterns of Carbon Emissions in the U S A Geographically Weighted Regression Approach","year":"0","author":"videras","key":"14"},{"key":"11","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/s10584-009-9637-8","article-title":"Regional patterns of US household carbon emissions","volume":"99","author":"pizer","year":"2010","journal-title":"Climatic Change"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/S0301-4215(01)00045-3"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1007\/s11111-011-0160-2"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosenv.2010.10.037"},{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2010.09.049"},{"key":"10","first-page":"27","author":"fortheringham","year":"2002","journal-title":"Geographically Weighted Regression The Analysis of Spatially Varying Relationships"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.apgeog.2010.06.010"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1111\/j.1435-5957.2010.00279.x"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/S0921-8009(03)00188-5"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eiar.2012.03.003"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.geoderma.2011.11.019"},{"key":"8","doi-asserted-by":"crossref","first-page":"3827","DOI":"10.1080\/00036846.2012.734597","article-title":"The heterogeneity of carbon kuznets curves for advanced countries: Comparing homogeneous, heterogeneous and shrinkage\/bayesian estimators","volume":"45","author":"mazzanti","year":"2012","journal-title":"Applied Economics"}],"event":{"name":"2013 21st International Conference on Geoinformatics","start":{"date-parts":[[2013,6,20]]},"location":"Kaifeng, China","end":{"date-parts":[[2013,6,22]]}},"container-title":["2013 21st International Conference on Geoinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6601058\/6626018\/06626145.pdf?arnumber=6626145","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,22]],"date-time":"2017-06-22T00:05:29Z","timestamp":1498089929000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6626145\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,6]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/geoinformatics.2013.6626145","relation":{},"subject":[],"published":{"date-parts":[[2013,6]]}}}