PPT-Spatial Analysis

Chapter One Spatial Analysis Patterns of spatially distributed points Correlation with environmental variables Interpolations and predictive models Spatial autocorrelation gt spatial patterns aggregation Based on distance to neighbors KaplanMeier estimator Morans I. 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. Chris Jochem. Geog. 5161 – Spring 2011. When you know ‘where’, you can start to . ask . ‘why’. John Snow’s map of cholera deaths in London, 1854.. Water pump locations. Need to move beyond simply mapping events and beyond general point pattern analysis.. Adam Dennett*, Kimberley . Claydon. †. , Pablo . Mateos. †. *Centre for Advanced Spatial Analysis. †Department of Geography. University College London. Presentation to the British Society for Population Studies – Annual Conference, 9. A . Deep Dive into Spatial Indexing. Michael Rys. Principal Program Manager. Microsoft Corporation. @. SQLServerMike. DBI405. Q: Why is my Query . so. Slow?. A: . Usually . because the index isn’t being used.. ILLUSTRATIONS. Emilia. . Abadjieva. Institute . of. . Information. . and. . Communication. Technologies, . Institue. . of. . Mechanics. ,. Bulgarian. Academy . of. . Sciences. 1- INTRODUCTION. Dr Kirk Harland. What is a Spatial . Microsimulation. ?. Static Spatial . Microsimulation. Deterministic Reweighting. Conditional Probabilities. Simulated Annealing. Dynamic . Microsimulation. This . 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). Wolbachia. within Aquatic Insects of . t. he Missouri River and Associated Drainages. Eric J Sazama. , Carmelita . Shouldis. , Scot P Ouellette, Jeff S Wesner . What is . Wolbachia. ?. Intracellular alpha-. 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 . Ged Ridgway, London. With thanks to John Ashburner. a. nd the FIL Methods Group. Preprocessing overview. fMRI. time-series. Motion corrected. Mean functional. REALIGN. COREG. Anatomical MRI. SEGMENT. 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. Overview . of Spatial Big Data and . Analytics. (8:40-9:15am). James B. Pick. University of Redlands School of Business. James_pick@redlands.edu. . Pre-ICIS Workshop on Locational Analytics, Spatial . Robert Tanton. (CRICOS) #00212K. Outline. Description . of . spatial . microsimulation. Applications of . spatial . microsimulation. Future of . spatial microsimulation. Further reading. (CRICOS) #00212K. Introduction. Region Discovery—Finding Interesting Places in Spatial Datasets . Project3. CLEVER: a Spatial Clustering Algorithm Supporting Plug-in Fitness Functions. [Spatial Regression]. Brief Introduction .