000 02015nab a2200253 4500
999 _c11142
_d11142
003 OSt
005 20210113154524.0
007 cr aa aaaaa
008 210113b ||||| |||| 00| 0 eng d
100 _aMurray, Alan T.
_940185
245 _aEvolving Regional Analytics in a Rural World
260 _bSage,
_c2019.
300 _aVol 42, Issue 5-6, 2019 (374-399 p.)
520 _aRegions are important and invariably constitute largely rural areas. This being the case, it is interesting to find that the condition of being rural fluctuates significantly, especially in the United States, and is largely contingent upon federal definitions that consider population and proximity to metropolitan areas for delineating the geographic boundaries of a rural place. Variations in definitions, both nuanced and more substantial, make classification mutable for many communities but underlies the challenge for evaluating, understanding, and improving rural conditions. This is particularly true when conducting exploratory and confirmatory analysis based on indicators and methods that identify/monitor troubled rural areas as well as support assessment of aid programs and/or public policy. The purpose of this article is to review alternative definitions of rural within the context of interpretation that relies on indicators. This highlights a number of issues, as conditions of rural polymorphism make scientific assessment challenging in many ways. Empirical evidence of indicator impacts is offered through a study of the medically uninsured in the state of Kentucky, highlighting how this can alter planning and policy interpretation.
650 _arural,
_940186
650 _aspatial analysis,
_940187
650 _a uncertainty,
_940188
650 _aindicators,
_934328
650 _amethods
_940189
700 _aGrubesic, Tony H.
_940190
773 0 _011129
_915490
_dSage, 2019.
_tInternational regional science review
856 _uhttps://doi.org/10.1177/0160017619827071
942 _2ddc
_cART