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2000115-Strengthening-Communities-with-Neighborhood-Data

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432 Index<br />

funders, data-driven decisionmaking and,<br />

395<br />

funding<br />

local institutional development and<br />

innovation, 401, 406–407<br />

new local data intermediaries, 398<br />

NNIP partners, 28–29<br />

Furman Center for Real Estate and<br />

Urban Policy (New York University),<br />

224–225<br />

Galster, G., 305, 309, 311, 341, 345, 346,<br />

347, 348, 351, 354, 357<br />

gang violence, 195, 377<br />

Gartner, Inc., 48<br />

Gautreaux and Yonkers public housing<br />

desegregation programs, 355<br />

gender, 221<br />

General Transit Feed Specification, 99<br />

genome project, heat map technique<br />

and, 324<br />

gentrification, 332, 335, 350, 373<br />

geocoding, 129<br />

GeoCommons, 105<br />

geo-computation field, 369<br />

GeoDa, 292<br />

GeoDaNet, 378<br />

GeoDaSpace, 380<br />

geographically weighted regression, 379<br />

Geographic <strong>Data</strong> Clearinghouse<br />

(Minnesota), 59–60<br />

geographic information systems (GIS)<br />

tools, 2, 15–16, 41–45, 47, 52, 102,<br />

152, 338, 367, 368, 390, 391. See also<br />

maps and mapping<br />

brownfields remediation work, 44<br />

computing power, 41–42<br />

data layering, 41<br />

distance-based measures, 297<br />

enterprise approach, 43<br />

hazardous waste exposure measures, 299<br />

localizing outcomes in space, 306<br />

person-centric neighborhoods,<br />

289–290<br />

Regional Equity Atlas project, 253, 254<br />

resident-defined neighborhood units,<br />

289<br />

revitalization of residential<br />

neighborhoods, 45<br />

spatial metrics, 287<br />

Twin Cities region and use of, 58, 59,<br />

63, 64<br />

types of questions answered <strong>with</strong>, 42<br />

geographic selection bias<br />

endogeneity biases and, 356–358<br />

unobservables and, 354–356, 357, 359<br />

geography, Tobler’s first law of, 369, 373<br />

geography of resources and disamenities,<br />

assessing, 287–288, 296–299<br />

GeoIQ, 105<br />

geolocation, 124, 126<br />

GeoLytics, Inc., 89<br />

geomapping, school attendance data, 274<br />

geophysical data, 377<br />

geo-referenced data, 367<br />

geospatial data, 284<br />

geospatial raster analysis, 253–254<br />

geo-statistical data, 376<br />

geo-statistics, 369, 377<br />

gerrymandering, 370<br />

Getis, A., 377<br />

Gibson, James O., 9n.2<br />

Gi/Gi, 378<br />

GitHub, 130<br />

Gleason, P., 348<br />

Global Positioning System, 100<br />

Goldsmith, Stephen, 46<br />

Google, 105, 126, 133<br />

Google Maps, 124, 130<br />

governance<br />

coalitions and, 18–20<br />

strengthening, data used more broadly<br />

for, 32–33<br />

government<br />

as fortress, barriers to information and,<br />

118, 119<br />

governance vs., 19<br />

government enterprise data systems, 22<br />

Government Performance and Results<br />

Act (GPRA), 174, 176<br />

government portals, 104–105

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