PPT-Introduction to Spatial Microsimulation

Dr Kirk Harland What is a Spatial Microsimulation Static Spatial Microsimulation Deterministic Reweighting Conditional Probabilities Simulated Annealing Dynamic Microsimulation This . 11 Specifications are subject to change without notice HOLOEYE Photonics AG AlbertEinsteinStr 14 12489 Berlin Germany Phone 49 030 6392 3660 Fax 49 030 6392 3662 contactholoeyecom wwwholoeyecom HOLOEYE Corporation 1620 Fifth Avenue Suite 550 San Di Brazilian cities. An ESRC pathfinder project. http://www.ccsr.ac.uk/documents/spatial_segregation_of_poverty.pdf. Kuznetz. Curve (1958). Source: Wilkinson & Pickett, The Spirit Level (2009). Preston Curve. Sixth International Longevity Risk and Capital Markets Solutions Conference. Sydney Australia. 9 and 10 September 2010. Michael Sherris (with Andy Tang). Australian School of Business, UNSW. Mortality rates are known to vary by geographical location and to depend on socio-economic factors. . ILLUSTRATIONS. Emilia. . Abadjieva. Institute . of. . Information. . and. . Communication. Technologies, . Institue. . of. . Mechanics. ,. Bulgarian. Academy . of. . Sciences. 1- INTRODUCTION. Ben Phillips: Principal Research Fellow, NATSEM, 21 Feb 2015. 2. What are microsimulation models?. Tools to simulate government programs, demographic and economic change, current or alternative situation. D.M. Bannerman, M.A. Good, S.P. Butcher, M. Ramsay & R.G.M. Morris. GROUP A3. Bonnie Chan | Anastasia Christopher | Herman Gill . Marisa Leung | Sarah McNeil | Carol . Rego. Overall Evaluations. Eric . Feigelson. Penn State University. Arcetri. Observatory, April 2014. Background on Spatial Point Processes. Study of spatial point processes is a part of the field of spatial statistics that includes: graph, map, network data; lattice data (e.g. images); . NR 245. Austin Troy. University of Vermont. SA basics. Lack of independence for nearby . obs. Negative vs. positive vs. random. Induced . vs. inherent spatial autocorrelation. First . order (gradient) vs. second order (patchiness). What can we do with GIS?. SPATIAL STATISTICS. What can we do with GIS?. SPATIAL STATISTICS. We utilize map data! . What can we do with GIS?. Designed for use with maps. Uses either . RASTER. or . Influence Maps. Damián Isla, . Director of Tech. Moonshot Games. Spatial Evaluation. Spreading influence is just one form of spatial function.. Spatial decisions can be made on second-to-second timescales. Robert Tanton. (CRICOS) #00212K. Outline. Description . of . spatial . microsimulation. Applications of . spatial . microsimulation. Future of . spatial microsimulation. Further reading. (CRICOS) #00212K. methods for . Small Area Estimation. . Dr . Paul . Williamson. Centre for Spatial Demographics Research. Dept. . of Geography & Planning. (1) Direct survey estimation: a recap. (3) Conventional SAE: a recap. Presented by . Xiaozhi. Yu. Outline. What is spatial database system?. What need to be presented?. Organizing the underlying space.. Spatial data types.. Spatial relationships.. Integrating geometry into DBMS data model.. the case of SWITCH. Tim Callan. Economic and Social Research Institute. Overview. Context: the role of SWITCH. S. imulating . W. elfare and . I. ncome . T. ax . CH. anges. A tour of the SWITCH model.