PPT-Geog 301: Lecture 4 The value of spatial data

Again portions swiped from Dr Sterling Quinn What the heck is spatial data Data tied to a location On earth Mars Anywhere Heck Ive even seen detailed maps of the human body Note GE has moon and mars So cool. Cartography. Spring . 2015. Ohio Northern University. Roots of the discipline. Geo. / . graphy. : “description of the earth.”. “a science that deals with the description, distribution, and interaction of the diverse physical, biological, and cultural features of the earth's surface”. M Sumner. Outline. Packages. Spatial. Import and export. Maps and projections. Big data. Community. , . resources. Sweave. ?. Packages. s. p, . rgdal. , . maptools. , . gstat. , . spdep. , . spacetime. . Varimax. Factors. and. Empircal. Orthogonal Functions. Syllabus. Lecture 01 Describing Inverse Problems. Lecture 02 Probability and Measurement Error, Part 1. Lecture 03 Probability and Measurement Error, Part 2 . Spring 2013 . (INF 385T-28437). . Dr. David Arctur. Lecturer, Research Fellow. University of Texas at Austin. Lecture 1. Jan 17. , 2013. Who am I? . …or at least, where have I been?. University of Texas at Austin. Tyler Reainthong. CSE 7330. Fall 2009. Topics. Definitions. Storage and Indexing. Spatial Relationships. Spatial Queries. Standards. Systems. Applications and the Future. What is a Spatial Database?. 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 . and. Empircal. Orthogonal Functions. Syllabus. Lecture 01 Describing Inverse Problems. Lecture 02 Probability and Measurement Error, Part 1. Lecture 03 Probability and Measurement Error, Part 2 . 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.. Daniel Carter. UNC Highway Safety Research Center. Presented at the Traffic Records Forum, August 6, 2017. New Orleans, LA. Background. HSIS roadway and crash data warehousing process involves:. Acquiring data. Geog 596A Peer Review. Capstone Proposal By. : Larry . T. Nierth. Graduate Advisor: Dr. Patrick Kennelly. May 2013. Background Information . Goals and Objectives. Methodology. Anticipated Project Results . 1. SYLLABUS COVERAGE THROUGH POWER POINT PRESENTATION.. BY . staff members. GEOGRAPHY . DEPARTMENTKH. INTERNAL LANDFORMING PROCESSES.. JUNE 2011. khisa's geog slides for quick revision. 3. EARTH MOVEMENTS. Introduction. Region Discovery—Finding Interesting Places in Spatial Datasets . Project3. CLEVER: a Spatial Clustering Algorithm Supporting Plug-in Fitness Functions. [Spatial Regression]. Brief Introduction . For . Starter Sheets. Year 8 . Geog. Skills No. 1. Grid References. Use the map A to answer the following.. (1) Who lives in the small houses in B2 and C2?_________________. (2) How far would the church congregation have to travel after a service to enjoy a barbecue in Royal Park?____________________. Yaxing . Wei. . &. Suresh K.S. . Vannan. Environmental Sciences Division. Oak Ridge National Laboratory. Spatial Data. Any data with location information. Feature data: . “. object. ”. with location and other properties.