'Kriging' presentation slideshows

NRCSE

NRCSE. Modelling non-stationarity in space and time for air quality data Peter Guttorp University of Washington peter@stat.washington.edu. Outline. Lecture 1: Geostatistical tools Gaussian predictions Kriging and its neighbours The need for refinement

853 views • 72 slides

CHAPTER 16 SPATIAL INTERPOLATION 16.1 Elements of Spatial Interpolation 16.1.1 Control Points

CHAPTER 16 SPATIAL INTERPOLATION 16.1 Elements of Spatial Interpolation 16.1.1 Control Points 16.1.2 Type of Spatial Interpolation 16.2 Global Methods 16.2.1 Trend Surface Models Box 16.1 A Worked Example of Trend Surface Analysis 16.2.2 Regression Models 16.3 Local Methods

898 views • 45 slides

Concepts and Applications of Kriging

July 24, 2012. Concepts and Applications of Kriging. Konstantin Krivoruchko Eric Krause. Outline. Intro to interpolation Exploratory spatial data analysis (ESDA) Using the Geostatistical Wizard Validating interpolation results Empirical Bayesian Kriging Questions.

558 views • 32 slides

NRCSE

NRCSE. STAT 592A(UW) 526 (UBC-V) 890-4(SFU) Spatial Statistical Methods peter@stat.washington.edu www.stat.washington.edu/peter/592. Course content. 1. Kriging 1. Gaussian regression 2. Simple kriging 3. Ordinary and universal kriging 4. Effect of estimated covariance

402 views • 29 slides

Short course on space-time modeling

381 views • 23 slides

Salinity Interpolation in Corpus Christi Bay

Salinity Interpolation in Corpus Christi Bay. Presented by Ernest To May 1, 2007. Corpus Christi Bay Testbed. National Datasets (National HIS). Regional Datasets (Workgroup HIS). USGS. NCDC. TCOON. Dr. Paul Montagna. TCEQ. SERF. NCDC station. TCOON stations. TCEQ stations.

329 views • 22 slides

590 views • 21 slides

Optimal Sample Designs for Mapping EMAP Data

Optimal Sample Designs for Mapping EMAP Data. Molly Leecaster, Ph.D. Idaho National Engineering & Environmental Laboratory Jennifer Hoeting, Ph. D. Colorado State University Kerry Ritter, Ph.D. Southern California Coastal Water Research Project. September 21, 2002. FUNDING SOURCE.

308 views • 19 slides

CWR 6536 Stochastic Subsurface Hydrology

390 views • 19 slides

Kriging - Introduction

Kriging - Introduction. Method invented in the 1950s by South African geologist Daniel Krige (1919-) for predicting distribution of minerals. Became very popular for fitting surrogates to expensive computer simulations in the 21 st century. It is one of the best surrogates available.

354 views • 18 slides

Kriging

Kriging. Cost of surrogates. In linear regression, the process of fitting involves solving a set of linear equations once.

448 views • 18 slides

Spatial Interpolation of monthly precipitation by Kriging method

Spatial Interpolation of monthly precipitation by Kriging method. semivariance. sill. nugget. distance. range. Kriging method. Kriging is one of the spatial interpolation algorithm and falls within the field of geostatistics.

725 views • 17 slides

Surrogates and Kriging Part I: Kriging Ralf Lindau

Surrogates and Kriging Part I: Kriging Ralf Lindau. Contents. Stepwise Kriging (the future) Simple Kriging (the past) avoiding negative weights Victorian LWP Stefanian Permeability. Summary of 18.5.2009. Distingish between two types: 1. downscaling of averages (true downscaling)

315 views • 17 slides

Spatial Interpolation III

Spatial Interpolation III. ENVE 424/524. Spatial Interpolation. We can estimate the value of a variable at a location based on the values of that variable at neighboring locations. The trick is defining the weight. spatial estimation method. z i is the estimated value at location i

440 views • 15 slides

INCLUDING UNCERTAINTY MODELS FOR SURROGATE BASED GLOBAL DESIGN OPTIMIZATION The EGO algorithm

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION GROUP. INCLUDING UNCERTAINTY MODELS FOR SURROGATE BASED GLOBAL DESIGN OPTIMIZATION The EGO algorithm. Thanks to Felipe A. C. Viana. BACKGROUND: SURROGATE MODELING.

286 views • 14 slides

Robust Optimization of Simulation models through Metamodels

Robust Optimization of Simulation models through Metamodels. Jack Kleijnen 1 , Gabriella Dellino 2 , Carlo Meloni 3 1 Tilburg University, 2 University of Siena, 3 Polytechnic of Bari Seminar presented at the Naval Postgraduate School , Monterey , June 2, 2010. Problem type.

257 views • 14 slides

CWR 6536 Stochastic Subsurface Hydrology

248 views • 13 slides

Groundwater Resources of the Queen City Aquifer: Bastrop and Lee Counties, Texas

Groundwater Resources of the Queen City Aquifer: Bastrop and Lee Counties, Texas. Katie Kier GIS in Water Resources December 3, 2002. Outline. Introduction Setting Methods Results and Discussion Conclusions. Introduction. Rule of Capture, 1904 Senate Bill One

467 views • 12 slides

My_Summer_Term_Work

225 views • 11 slides

Spatial analysis of station rainfall

Spatial analysis of station rainfall. Kriging Thin Plate Spline vs Barnes grid (BOM).

116 views • 2 slides