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Spatial analysis
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951	GEOG 420 Possible research topics and staff interests 2013 This document outlines possible topics and research areas for your GEOG420 dissertation, and is organised by academic staff member. Ross Barnett Health promotion Add to Reading List Source URL: www.geog.canterbury.ac.nz Language: English - Date: 2013-03-06 20:37:36 Spatial analysis Metadata Pollution Statistics Geographic information systems Cartography
952	Pigeon: A Spatial MapReduce Language∗ Ahmed Eldawy Mohamed F. Mokbel Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA Add to Reading List Source URL: www-users.cs.umn.edu Language: English - Date: 2015-04-07 01:38:52 Query languages Parallel computing Cloud computing Distributed computing architecture MapReduce Spatial query Apache Hadoop Well-known text Spatial analysis Computing Concurrent computing Statistics
953	PhD course in Social Networks and Spatial Econometrics Dates: Lectured by: Location: Funding: Registration: Add to Reading List Source URL: www.econ.ku.dk Language: English - Date: 2012-05-14 05:43:22 Econometrics Spatial analysis Spatial econometrics Geographic information system Statistics Spatial data analysis Regional science
954	Microsoft Word - PGDI MasterPlan v1.0_7-31-14 Add to Reading List Source URL: namria.gov.ph Language: English - Date: 2015-02-18 02:37:02 Geoportal Earth Esri Geodatabase Geospatial analysis Spatial data infrastructure Geographic information systems in geospatial intelligence Conservation Geoportal Cartography Geographic information systems Geography
955	SMART FUTURE CITIES THE ROLE OF 3D LAND, PROPERTY & CADASTRE INFORMATION University of Melbourne, Australia 2 – 3 FebruaryProgram Day One: 2 February 2015 Add to Reading List Source URL: csdila.unimelb.edu.au Language: English - Date: 2015-03-12 03:06:31 Organizational theory Science Cartography Surveying Economic development Smart city Spatial analysis Cadastre Land-use planning Statistics Urban studies and planning Knowledge
956	A Wavelet-Based Approach to Improve the Eciency of Multi-Level Surprise Mining? Cyrus Shahabi1, Seokkyung Chung1, and Maytham Safar2 Department of Computer Science University of Southern California Los Angeles, Californ Add to Reading List Source URL: infolab.usc.edu Language: English - Date: 2009-11-05 01:09:02 Wavelets Analysis Wavelet Spatial database Data mining
957	boletim_inde_n2B Ingles.indd Add to Reading List Source URL: www.inde.gov.br Language: English - Date: 2014-04-02 11:24:11 Information Data Geodesy Visualization Geospatial intelligence Curitiba Geospatial analysis Brazilian Institute of Geography and Statistics Spatial data infrastructure Geography Cartography Geographic information systems
958	Structural and Cultural Determinants of Successive Demographic Innovations: Add to Reading List Source URL: sdt.psc.isr.umich.edu Language: English - Date: 2012-03-13 10:57:59 Science Human geography Political philosophy Secularization Sociology of religion Demographic transition Spatial analysis Fertility Arrondissement Demography Statistics Population
959	I Computer visualisation of spatial models for communication and mananement James Scandol Quantitative Training Unit for Fisheries Add to Reading List Source URL: www.asfb.org.au Language: English Learning Data analysis Data visualization Information technology governance Fisheries management Adaptive management Scientific modelling Simulation Science Fisheries science Environment Visualization
960	Microsoft Word - APRdocx Add to Reading List Source URL: www.atmospolres.com Language: English - Date: 2015-04-15 15:36:18 Data analysis Regression analysis Spatial data analysis Kriging Anomaly detection Outlier Spatial analysis Robust regression Data mining Statistics Robust statistics Geostatistics