Modeling Space/Time Variability with BMEGUI Prahlad Jat (1) and Marc Serre (1) (1) University of North Carolina at Chapel Hill.

Slides:

Advertisements

Similar presentations

Working with Profiles in IX1D v 3 – A Tutorial © 2006 Interpex Limited All rights reserved Version 1.0.

Advertisements

Training Course: Task List. Agenda Overview of the Task List Screen Icons across the top Making Appointments Viewing Appointments & Filters Working Your.

JustinMind: Dynamic Panels

© Paradigm Publishing, Inc Excel 2013 Level 2 Unit 1Advanced Formatting, Formulas, and Data Management Chapter 1Advanced Formatting Techniques.

Introduction to Excel Formulas, Functions and References.

COMPREHENSIVE Word Tutorial 9 Creating On-Screen Forms Using Advanced Table Techniques.

MultiLoop III - Tutorial 3 Creating a Grid & Plotting Vectors (Continued from Tutorial 2)

4.3 Searching for Patient Information 4-12 Medisoft offers two options for conducting searches for information: 1.Search for and Field boxes 2.Locate buttons.

Histograms Capital Credit Union Issue: Analyze credit card balances for Capital Credit Union customers using a frequency distribution and histogram. Objective:

FOUR METHODS OF ESTIMATING PM 2.5 ANNUAL AVERAGES Yan Liu and Amy Nail Department of Statistics North Carolina State University EPA Office of Air Quality,

Formula Auditing, Data Validation, and Complex Problem Solving

FOUR METHODS OF ESTIMATING PM 2.5 ANNUAL AVERAGES Yan Liu and Amy Nail Department of Statistics North Carolina State University EPA Office of Air Quality,

Drawing forecast charts. Open NeLant basic map area.

USING WORKSHEETS TO MAKE BUSINESS DECISIONS BY DR. ENNIS - COLE.

Tutorial 5: Working with Excel Tables, PivotTables, and PivotCharts

EXCEL ADVANCED 1. Mathematical Operators for Excel < > = >=

1 ADVANCED MICROSOFT WORD Lesson 15 – Creating Forms and Working with Web Documents Microsoft Office 2003: Advanced.

Working with Data Lesson 7. Objectives Software Orientation: Excel’s Data Tab The command groups on Excel’s Data tab, shown in the figure below, enable.

Quick Start Guide: Filters Advanced Learn about: 1.What filters are and their functionality 2.How to create a filter using Samples, Equipment & Labels.

Course 4: Using AdvancedWell Editor Tools. Log curves are resampled.

EXPLORING SPATIAL CORRELATION IN RIVERS by Joshua French.

Screens appear here to display the: Data Tables Plots Bibliographic Info Add New Data Form, Molecular Structure-Drawing Form ‘Tree’ for navigation between.

Met Alert Tool (MAT). Introduction What is MAT? –Met Alert Tool (MAT) monitors and alerts the user to weather conditions exceeding thresholds (for example,

Learning Microsoft Excel Getting Started  There are three features that you should remember as you work within PowerPoint 2007: the Microsoft Office.

OPL MRR Viewer Tutorial David Stark North Carolina State University 31 Jan 2008.

StAR web server tutorial for ROC Analysis. ROC Analysis ROC Analysis: This module allows the user to input data for several classifiers to be tested.

Using SPSS for Windows Part II Jie Chen Ph.D. Phone: /6/20151.

Working with Reports in Microsoft Excel Session Version 1.0 © 2011 Aptech Limited.

1 Performing Spreadsheet What-If Analysis Applications of Spreadsheets.

Download variowin.zip from

CREATING TEMPLATES CREATING CUSTOM CHARACTERS IMPORTING BATCH DATA SAVING DATA & TEMPLATES CREATING SERIES DATA PRINTING THE DATA.

Geographic Information Science

1 TEISS Case Project Introduction Melinda Ronca-Battista and Angelique Luedeker ITEP/TAMS Center.

UNESCO ICTLIP Module 4. Lesson 2 Database Design, and Information Storage and Retrieval Lesson 2. Database creation using WinISIS.

Mapping Estimation with BMEGUI Prahlad Jat (1) and Marc Serre (1) (1) University of North Carolina at Chapel Hill.

Introducing ITSM 2000 By: Amir Heshmaty Far. S EVERAL FUNCTION IN ITSM to analyze and display the properties of time series data to compute and display.

Access Forms and Queries. Entering Data in Your Table  You can add data to your table in Datasheet view, by typing in the columns and rows.  This.

EDExpress Training Presented by Doug Baldwin – CPS/SAIG Technical Support Bob Berry – U.S Department of Education/FSA.

ATN GIS Support ArcGIS: ArcCatalog.

Copyright © 2010 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Starting Out with Programming Logic & Design Second Edition by Tony Gaddis.

Liang, Introduction to Java Programming, Seventh Edition, (c) 2009 Pearson Education, Inc. All rights reserved Chapter 41 JavaServer Face.

Introduction to kriging: The Best Linear Unbiased Estimator (BLUE) for space/time mapping.

CS 281 – Fall 2015 Lab 4 Parametric Query and Forms in MS Access.

IGridView description Version 2.0. Introduction IGridView is a 2D box view of Eclipse simulation data. Three types of grid data can be loaded and viewed:

1 Fields Sacramento City College Engineering Design Technology.

INTRODUCTION TO ACCESS. OBJECTIVES  Define the terms field, record, table, relational database, primary key, and foreign key  Create a blank database.

Click the mouse to continue. Using styles A style is a saved collection of formatting, such as a font, font size, pattern, and alignment, that you can.

Advanced Tutorial on : Global offset and residual covariance ENVR 468 Prahlad Jat and Marc Serre.

Create / Add PREFERRED NAMES Select this button to view the Chemwatch ‘we write’ Gold MSDS.

Course 3: Using Basic Well Editor Tools. Can open multiple files and sort by different parameters.

Oct 091 Example Program DemoInputValidation1.java DemoInputValidation2.java.

Introduction to Matlab Module #10 Page 1 Introduction to Matlab Module #10 – Creating Graphical User Interfaces Topics 1.Overview of GUI Development using.

Filters, Queries and Reports. Filters Limit the data, creating a dataset, or partial view of the whole database Single use – filters do not save with.

Prepared by the Academic Faculty Members of IT. Tables Creating Tables. Merging Cells. Splitting Cells. Sorting Tables. Performing Calculations.

1 Right-click anywhere on your screen, and from the menu that will appear, select Options… In the Options window, go to the Selection tab. Under Selection.

Integrating Components and Dynamic Text Boxes with the Animated Map– Lesson 101 Integrating Components and Dynamic Text Boxes with the Animated Map Lesson.

Starting with BMEGUI Prahlad Jat (1) and Marc Serre (1) (1) University of North Carolina at Chapel Hill.

CS 281 – Fall 2010 Lab 4 Parametric Query and Forms in MS Access.

Problem: Take Two Numbers, Add Them Together And Display The Results. Now To Build The Flowchart… We Probably Need One Like This… Let’s Add The Routines…

Chapter Topics 15.1 Graphical User Interfaces

Mapping Estimation with BMEGUI

Modeling Space/Time Variability with BMEGUI

WORKSHOP 8 TIRE TESTRIG TUTORIAL

Microsoft Office Illustrated

Using the Input Analyzer

Formatting Cells and Ranges

HP ALM Defects Module To protect the confidential and proprietary information included in this material, it may not be disclosed or provided to any third.

Chapter 15: GUI Applications & Event-Driven Programming

Click “Execute” button.

Microsoft Excel 2007 – Level 2

Presentation transcript:

Modeling Space/Time Variability with BMEGUI Prahlad Jat (1) and Marc Serre (1) (1) University of North Carolina at Chapel Hill

Agenda ► Introduction ► Mean Trend Analysis ► Space/Time Covariance Analysis

Introduction

Temporal GIS analysis process Read Data File Check Data Distribution Exploratory Data Analysis Mean Trend Analysis Covariance Analysis BME Analysis Data Field Screen Data Distribution Screen Exploratory Data Analysis Screen Mean Trend Analysis Screen Space/Time Covariance Analysis Screen BME Estimation Screen

Mean Trend Analysis Screen ► Display temporal mean trend ► Display spatial mean trend (Raw & Smooth) ► Model Parameter (Exponential Smoothing)

Space/Time Covariance Analysis Screen ► Display spatial & temporal covariance ► Plot covariance models

Mean Trend Analysis

Mean Trend Calculation ► Assume a separable additive space/time mean trend model ► Input Parameter  Spatial Radius/Spatial Range  Temporal Radius/Temporal Range ► Averaging the measurement at each MS (or at each time point) ► Find measurements within “Radius”, then apply exponential filter

Smoothed Mean Trend T radius S radius

Remove Mean Trend ► Removing the mean trend from data Z: Value SSM: Smoothed Spatial Mean Trend STM: Smoothed Temporal Mean Trend Z - (SSM+STM-mean(STM))

Calculate Mean Trend ► Click “Model mean trend and remove it from data” ► BMEGUI automatically calculate mean trend using the default parameters

Temporal Mean Trend ► Raw Temporal Mean Trend is shown in dotted line ► Smoothed Temporal Mean Trend in shown in solid line ► Zoom in/out

Spatial Mean Trend ► Two tabs – Spatial Mean Trend (Raw) Spatial Mean Trend (Smoothed) Spatial Mean Trend (Smoothed) ► Zoom in/out ► Point Layer File

Recalculate Mean Trend ► Input parameters and click “Recalculate Mean Trend” button  Spatial Radius/Spatial Range  Temporal Radius/Temporal Range Spatial Radius Temporal Radius Spatial Range Temporal Range Click Button

Space/Time Covariance Analysis

► Experimental Covariance (Red dots) ► Fit experimental covariance with covariance model (Solid Line)

Spatial/Temporal Components ► Two tabs  Spatial Component  Temporal Component Spatial Component Tab Temporal Component Tab

Experimental Covariance ► BMEGUI automatically calculate experimental covariance using the default lag setting ► User can modify the lag setting  Change the number of lags  Input user-defined lag and lag tolerance

Change number of lags ► Input the number of lags, then click “Recalculate Spatial/Temporal Covariance” button Number of lags for Spatial Cov. Number of lags for Temporal Cov. Recalculate Spatial Cov. Recalculate Temporal Cov.

Modify lag and lag tolerance ► Click “Edit Spatial/Temporal Lags…” ► Input lag and tolerance in dialog box, then click “OK” (Use “,” to separate the values)

Covariance Model ► BMEGUI supports  homogeneous/stationary Space/Time random field  Space/Time separable model  Maximum four model structures  Following covariance model ► exponential ► gaussian ► spherical ► holecos ► holesin

Set the number of model structures ► Set the number of model structures  Input the number into text box (1-4)  The number of tabs will change

Select covariance model ► Select model from the combo box ► Input sill and range, then click “Plot Model”

Clear covariance model ► Plot “Clear Plot” button ► Covariance model will be erased from the figures