LEADER 03449nam 2200613Ia 450 001 9910438147603321 005 20200520144314.0 010 $a1-283-74096-6 010 $a88-470-2751-9 024 7 $a10.1007/978-88-470-2751-0 035 $a(CKB)2670000000280388 035 $a(EBL)1030478 035 $a(OCoLC)818317985 035 $a(SSID)ssj0000797551 035 $a(PQKBManifestationID)11510580 035 $a(PQKBTitleCode)TC0000797551 035 $a(PQKBWorkID)10805726 035 $a(PQKB)11661313 035 $a(DE-He213)978-88-470-2751-0 035 $a(MiAaPQ)EBC1030478 035 $a(PPN)168334690 035 $a(EXLCZ)992670000000280388 100 $a20121026d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aStatistical methods for spatial planning and monitoring /$fSilvestro Montrone, Paola Perchinunno, editors 205 $a1st ed. 2013. 210 $aMilano $cSpringer$d2012 215 $a1 online resource (166 p.) 225 0$aContributions to statistics,$x1431-1968 300 $aDescription based upon print version of record. 311 $a88-470-5607-1 311 $a88-470-2750-0 320 $aIncludes bibliographical references and index. 327 $a1. Geographical Disparities in Mortality Rates: Spatial Data Mining and Bayesian Hierarchical Modeling -- 2. A Fuzzy Approach to Ward?s Method of Classification: an Application Case To the Italian University System -- 3. Geostatistics and the Role of Variogram in Time Series Analysis: a Critical Review -- 4. Geostatistics and GIS: Tools for Environmental Risk Assessment -- 5. Socio-Economic Zoning: Comparing Two Statistical Methods -- 6. A Geostatistical Approach to Measure Shrinking Cities: the Case of Taranto -- 7. Social Identity as Determinant of Real Estate Economy in Manhattan.  . 330 $aThe book aims to investigate methods and techniques for spatial statistical analysis suitable to model spatial information in support of decision systems. Over the last few years there has been a considerable interest in these tools and in the role they can play in spatial planning and environmental modelling. One of the earliest and most famous definition of spatial planning was ?a geographical expression to the economic, social, cultural and ecological policies of society?:  borrowing from this point of view, this text shows how an interdisciplinary approach is an effective way to an harmonious integration of national policies with regional and local analysis. A wide range of spatial models and techniques is, also, covered: spatial data mining, point processes analysis, nearest neighbor statistics and cluster detection, Fuzzy Regression model and local indicators of spatial association; all of these tools provide the policy-maker with a valuable support to policy development. 410 0$aContributions to Statistics 606 $aSpatial analysis (Statistics) 606 $aMathematical statistics 615 0$aSpatial analysis (Statistics) 615 0$aMathematical statistics. 676 $a519.5 701 $aMontrone$b Silvestro$0732303 701 $aPerchinunno$b Paola$0732304 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438147603321 996 $aStatistical methods for spatial planning and monitoring$91442786 997 $aUNINA