Index 431 experimental designs, overcoming selection bias <strong>with</strong>, 354 expert opinion, weights for indicators and, 294 explanation, neighborhood indicators studies, 285, 286 exploratory spatial data analysis, research gaps, 382 exposure, crafting spatially calibrated measures of, 297 extremely distressed neighborhoods, in Cleveland, Ohio, 295 Eye tool, Cuyahoga Land Bank, 214 face validity, resident-defined neighborhood units and, 289 Fagan, J., 381 Family Educational Rights and Privacy Act (FERPA), 20, 176, 271 family financial counselors, 17 Family League (Baltimore), 280 Fannie Mae Foundation, 104 FDIC-Insured Summary of Deposits, 78 federal agencies, decision-support tools through, 392 Federal Financial Institutions Examination Council, 80 federal government data, neighborhood indicators, 74, 80–83 Federal Individual Income Tax Files (SOI), 78 federal institutions, community information and, 20–21 Federal Policy for the Protection of Human Subjects (Common Rule), 20 Federal Reserve Board of Governors, 34, 82 Federal Reserve System, 93, 391 FedStats, 105 feedback effects, 368 Feijten, P., 352 financial disinvestment, predicting and combating, 103 Fintner, Cynthia, 258 First American, 91 “First-Time Parents” counseling and service program (Milwaukee), 156 Fischer, M. M., 377 Fleming, Cory, 39, 100, 102, 135, 142, 390 Flint, C., 376 Florida Shimberg Center for Housing Studies, 224 flow data, 376 Food Access Research Atlas, 97 food deserts, 298 food finder app, 117, 124 food pantries, 101 Ford Foundation, 150, 155, 190 foreclosure crisis, 1, 93 information-focused coalitions and, 225 property data, 93, 153, 158–160 foreclosures, 195, 196 in Cleveland, 207, 208, 209 data, 30 filings, 43 Minneapolis <strong>Neighborhood</strong> Information System and, 62, 63 preventing, 210 property acquisition for Cuyahoga Land Bank and, 215 rates, cluster analysis, and, 295 SWOP and organizing around, 197–199 Fortune 100 neighborhoods Chicago neighborhood types (2006), 336 DNT typology, 327 foster care, chronic absence and, 272 Fotheringham, A. S., 379 Foundation for Community Empowerment, 233 FourSquare check-ins, 98 fragmentation, reducing, 399 Freedom from Fat weight-loss program, 257 Freedom of Information Act, 123 Freeman, L., 305 free-standing organizations, as NNIP partners, 24 Freire, Paolo, 188 Friedman, Mark, 141 Friends of Oregon, 250, 263
432 Index funders, data-driven decisionmaking and, 395 funding local institutional development and innovation, 401, 406–407 new local data intermediaries, 398 NNIP partners, 28–29 Furman Center for Real Estate and Urban Policy (New York University), 224–225 Galster, G., 305, 309, 311, 341, 345, 346, 347, 348, 351, 354, 357 gang violence, 195, 377 Gartner, Inc., 48 Gautreaux and Yonkers public housing desegregation programs, 355 gender, 221 General Transit Feed Specification, 99 genome project, heat map technique and, 324 gentrification, 332, 335, 350, 373 geocoding, 129 GeoCommons, 105 geo-computation field, 369 GeoDa, 292 GeoDaNet, 378 GeoDaSpace, 380 geographically weighted regression, 379 Geographic <strong>Data</strong> Clearinghouse (Minnesota), 59–60 geographic information systems (GIS) tools, 2, 15–16, 41–45, 47, 52, 102, 152, 338, 367, 368, 390, 391. See also maps and mapping brownfields remediation work, 44 computing power, 41–42 data layering, 41 distance-based measures, 297 enterprise approach, 43 hazardous waste exposure measures, 299 localizing outcomes in space, 306 person-centric neighborhoods, 289–290 Regional Equity Atlas project, 253, 254 resident-defined neighborhood units, 289 revitalization of residential neighborhoods, 45 spatial metrics, 287 Twin Cities region and use of, 58, 59, 63, 64 types of questions answered <strong>with</strong>, 42 geographic selection bias endogeneity biases and, 356–358 unobservables and, 354–356, 357, 359 geography, Tobler’s first law of, 369, 373 geography of resources and disamenities, assessing, 287–288, 296–299 GeoIQ, 105 geolocation, 124, 126 GeoLytics, Inc., 89 geomapping, school attendance data, 274 geophysical data, 377 geo-referenced data, 367 geospatial data, 284 geospatial raster analysis, 253–254 geo-statistical data, 376 geo-statistics, 369, 377 gerrymandering, 370 Getis, A., 377 Gibson, James O., 9n.2 Gi/Gi, 378 GitHub, 130 Gleason, P., 348 Global Positioning System, 100 Goldsmith, Stephen, 46 Google, 105, 126, 133 Google Maps, 124, 130 governance coalitions and, 18–20 strengthening, data used more broadly for, 32–33 government as fortress, barriers to information and, 118, 119 governance vs., 19 government enterprise data systems, 22 Government Performance and Results Act (GPRA), 174, 176 government portals, 104–105
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- Page 431 and 432: 422 Index alternative scenarios, fo
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