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2000115-Strengthening-Communities-with-Neighborhood-Data

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Index 447<br />

social production, power of, 36n.5<br />

social relationships, resident-defined<br />

neighborhoods and, 288<br />

social security numbers, 129<br />

social service clients, automated<br />

information on, 16<br />

social spending, low-cost randomized trials<br />

related to, 311<br />

social systems model, indicator<br />

relationships in, 136, 137, 140<br />

socioeconomic selective mobility, 350<br />

Socrata, 104<br />

software programmers, training or<br />

recruiting, 131–132<br />

SouthCoast Urban Indicators Project<br />

(Massachusetts), 397<br />

Southwest Organizing Project (SWOP),<br />

158, 197, 198, 199<br />

space-time hotspots, of event points,<br />

detecting, 378<br />

space-time permutation scan, 378<br />

spatial analysis<br />

contextualizing <strong>with</strong>in broader<br />

questions and frameworks, 383<br />

geography of resources and<br />

disamenities, 296–299<br />

place-based evaluations, 307, 368–370<br />

spatial effects addressed <strong>with</strong>, 373<br />

Spatial Analysis Library PySAL, 378<br />

spatial autocorrelation, 373, 377, 380<br />

spatial Bayesian approaches, 380<br />

spatial buffers, 290<br />

spatial Chow tests, 379<br />

spatial clustering methods, 295<br />

spatial data, 376–377<br />

spatial data analysis<br />

defined, 369<br />

software, 292<br />

spatial dependence, 368, 370, 373–374,<br />

375, 377, 379, 381<br />

spatial diagnostic tests, 380<br />

spatial econometrics, 369<br />

estimators, 381<br />

methods for flow data, 376<br />

program evaluation, 382<br />

spatial effects, 370, 373<br />

spatial error model, 380<br />

spatial exploratory tools, 381<br />

spatial fixed effects, 381<br />

spatial heterogeneity, 368, 370, 373, 375,<br />

379<br />

spatial lag model, 380<br />

spatially constrained clustering algorithms,<br />

379<br />

spatial methods and tools, 377<br />

spatial metrics, GIS tools and, 287<br />

spatial modeling, 379–381, 382<br />

spatial outliers, 378<br />

spatial patterns and dynamics, 286, 287<br />

spatial point pattern analysis, 374<br />

spatial regimes, 379<br />

spatial significance testing and modeling,<br />

375<br />

spatial stationarity, 373<br />

spatial thinking, description of, 368–369<br />

spatial threshold effects, 373<br />

spatial tools, place-based efforts and, 369<br />

spatial weights matrix, 376<br />

spillover effects, spatial autocorrelation<br />

and, 374, 380<br />

spread, quantifying, GIS tools and, 287<br />

spreadsheets, 121<br />

St. Aidan’s Episcopal Church (Portland,<br />

Oregon), 260<br />

Stable Low Income neighborhoods<br />

Chicago neighborhood types and<br />

(2006), 336<br />

DNT typology and, 327, 333, 335<br />

stable neighborhoods, in Cleveland, Ohio,<br />

295<br />

stakeholders, local, training for, 399–400<br />

Stata, 380<br />

state agencies, data access and, 122<br />

state government data, 85–86, 89–91<br />

state institutions, community information<br />

and, 20–21<br />

state-level government data, expanding<br />

access to, 401, 403–404<br />

State of New York City’s Subsidized<br />

Housing report, 225<br />

statistical models, establishing weights<br />

empirically and, 294<br />

Stevens, Nancy, 257, 258<br />

Stone, Clarence, 19

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