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100 _aFangqu, Niu
_944863
245 _aCharacterising labour market self-containment in London with geographically arranged small multiples
260 _bSage,
_c2019.
300 _aVol 51, Issue 6, 2019,(1217-1224 p.)
520 _aWe present a collection of small multiple graphics that support analysis and understanding of the geography of labour-market self-containment across London’s 33 boroughs. Ratios describing supply-side self-containment, the extent to which working residents access jobs locally, and demand-side self-containment, the extent to which local jobs are filled by local resident workers, are first calculated for professional and non-professional occupations and encoded directly through geographically-arranged bar charts. The full distribution of workers into-and out-of- boroughs that underpins these ratios is then revealed via Origin-Destination flows maps (OD maps) – sets of geographically-arranged choropleths. In order to make relative and absolute comparison of borough-to-borough frequencies between occupation types, these OD maps are coloured according to signed chi-square residuals: for every borough-to-borough pair, we compare the observed number of flows to access professional versus non-professional jobs against the number that would be expected given the distribution of those jobs across London boroughs. Our geographically-arranged small multiples demonstrate potential for spatial analysis: a rich, multivariate structure is depicted that reflects London’s economic geography and that would be difficult to expose using non-visual means.
650 _aLabour market self-containment,
_944864
650 _atravel to work,
_944865
650 _a origin destination,
_944866
650 _aOD map,
_944867
650 _asmall multiples
_944868
700 _aJun, Li
_942213
773 0 _011325
_915507
_dSage, 2019.
_tEnvironmental and planning A: Economy and space
856 _uhttps://doi.org/10.1177/0308518X19850580
942 _2ddc
_cART