PPT-Raster Analysis

Apr 5 th 2017 Wenwen Zhang CP6514Spring 2017 1 Agenda GIS Concepts Raster data Raster analysis Map algebra Boolean overlay Weighted overlay Distance functions Density Interpolation Surface analysis Neighborhood statistics Zonal statistics . By the end of this class you should be able to: . describe some ways . continuous surfaces . or . spatial fields . are represented in GIS. list and describe the data elements that comprise a . grid data structure . Education & Training Symposium. September . 25, 2015. Lightning . Talk. Using Lidar for Feature Extraction in . Urban Change Analysis. David G. Perry, MS-GIST, JD. Lidar. Li. ght . D. etection . A. Continuous surfaces or spatial fields representation of geographical information. Grid data structure for representing numerical and categorical data. Map algebra raster calculations . Interpolation . 1 Raster Data Model • Cells (Pixels) • Cell value • x, y cell sizes • Geographic coordinates Attributes 2 Raster to Vector / Vector to Raster V2R R2V ArcGIS Spatial Analyst Continuous surfaces or spatial fields representation of geographical information. Grid data structure for representing numerical and categorical data. Map algebra raster calculations . Interpolation . GIS . Prof. Yuji Murayama - Instructor. Hao. . HOU . – Teaching Assistant. Division of Spatial Information Science. University of Tsukuba. TA Tutorial in Spring Semester 2015. In cartography, any network of parallel and perpendicular lines superimposed on a map and used for reference. These grids are usually referred to by the map projection or coordinate system they . Ken Carrier, . GISP. Senior GIS Specialist. Strategy & Information Department GIS Division. 2016 Ohio GIS Conference. Deliverable. Raw TIF imagery . 192,000 KB / 192 MB. No spatial reference files. Objectives. To review the definition of raster GIS. To briefly review basic raster model GIS concepts. To review raster data model advantages and disadvantages. To introduce raster data input and processing. 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 . ArcMap. . GIS Club at UWM. Greg Latsch. March 27, 2012. Why Analyze Solar?. To chose croplands. To select building sites. To estimate potential for solar energy. GIS Club at UWM, March 27, 2012, Greg Latsch. Raster Graphics. Also called . bitmap . graphics . Consist of grids of tiny dots called pixels . Have a fixed resolution and cannot be resized without altering image quality. Edited in paint programs . Rasters. are . beautiful.. Rasters. don’t depict objects; they represent space.. Rasters. are made of pixels, called cells. The cells are squares of a fixed size, and each contains a single value.. Katherine Paybins, USGS. Basic Ingredien. ts. Grid of data, such as the National Land Cover dataset, from 2006, and a point, line, or polygon feature dataset.. Area of interest, such as the Coterminous US, or the boundary of WV, or drainage areas in WV. DataTitle. Larry C. . Shubat. Professor. The University of Akron. Ohio GIS Conference. Hyatt Regency Columbus. September 24 – 26, 2018. Columbus, Ohio. Prof Shubat BIO. 2. BA Geology UC Davis, CA .