PPT-Working with Raster Grids and Map Algebra

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. 1 Working with the Raster Calculator The Raster Calculator provides you a powerful tool for performing multiple tasks. You can perform mathematical calculations using operators and functions, set up Expert Group 3: . Roles and Responsibilities. of Actors involved in the Smart Grids Deployment. Samia. . Benrachi-Maassam. . Bouygues. . Telecom . ETSI TC M2M . deleguate. ETSI representative in EG3 Smart Grids. 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 . Continuous surfaces or spatial fields representation of geographical information. Grid data structure for representing numerical and categorical data. Map algebra raster calculations . Interpolation . Continuous surfaces or spatial fields representation of geographical information. Grid data structure for representing numerical and categorical data. Map algebra raster calculations . Interpolation . August 2013. 3 Growth Grid Categories. I. nfants . and children < 24 months of age. Children 24 months and older. Pregnant women. Which grids do we show?. Infants and children < 24 months of . age. 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. Apr. 5. th. , 2017. Wenwen Zhang. CP6514/Spring 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 . 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 . Estimating Original Gas In Place. Jeffrey Vu, M.GIS Candidate. Dr. . Patrick Kennelly, . Advisor. Outline. Background. Introduction. Objectives. Data. Methods. Results. References. Acknowledgements. Background. 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.. Mr. . Richard Sasaki. Objectives. Understand algebraic notation and how to avoid using . and . symbols. Simplify simple algebraic expressions. Express simple worded problems with algebra.  . Purpose of Algebra. 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 . Application of unstructured/irregular grids inreservoir simulation is one of the mostimportant concepts that have been developedin the past decade 1 Though this conceptwas introduced to the petroleum