Organizing GIS data for hydrological applications

Apr 25, 2012

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Organizing GIS data for hydrological applications

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Web-Based GIS for Hydrological Impact Analysis

Web-Based GIS for Hydrological Impact Analysis. Bernie Engel, Professor and Head Larry Theller, GIS Specialist Agricultural and Biological Engineering Purdue University. Workshop Focus. This workshop gives an introduction to web-based GIS for Hydrological analysis.

702 views • 38 slides

Military Applications for GIS

Military Applications for GIS.

986 views • 1 slides

Organizing Data

Organizing Data. 4.2. Warm Up. Compare. Write < or >. 1. 3(6) 15 2. 53 – 37 19 3. 27 2(14) 4. 49 – (–4) 51. >. <. <. >. Learn to organize data in tables and stem-and-leaf plots. Vocabulary. stem-and-leaf plot back-to-back stem-and-leaf plot.

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Organizing Data

Organizing Data. Chapter 3. Revision: pages 8-10, 31. Revision:. The components of an Information System are: ___________, ____________, ___________, ______________.

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Organizing Data

Organizing Data. Section 2.1. Organize Qualitative Data. A frequency distribution lists each category of data and the number of occurrences for each category of data. Let use an example and build a Frequency Table. Relative frequency.

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GIS Applications

GIS Applications. Geothermal Map of North America. Volcanoes of the U.S. Hawaii Volcanic Hazards. Geologic Map of Pottawatomie County, Kansas. Radioactive Contamination, Los Alamos, New Mexico. Storm Response Map, Electric Utility. Electric Utility Customer Map.

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Organizing Data

Organizing Data. Lecture 2 Vernon E. Reyes. Collecting Data. Collecting data entails a serious effort to organize information Data collection also entails that “raw” materials are organized in order to analyze data… obtain results and test the hypotheses. Frequency Distribution.

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PASSIVE MICROWAVE TECHNIQUES FOR HYDROLOGICAL APPLICATIONS

PASSIVE MICROWAVE TECHNIQUES FOR HYDROLOGICAL APPLICATIONS. by : P. Ferrazzoli Tor Vergata University Roma, Italy ferrazzoli@disp.uniroma2.it. CLASSIFICATION OF REMOTE SENSING INSTRUMENTS Based on physical processes.

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Organizing Data

Organizing Data. John Sum Institute of Technology Management National Chung Hsing University. Data. Data A necessity for almost any enterprise to carry out its business. Consists of raw facts, and when organized may be transformed into information. Database

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Organizing Data

Organizing Data. Frequency distribution. Organizes raw data in table form Uses classes and frequencies. Raw Data.

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Organizing Data

Organizing Data. Listing and outlining Grouping ideas into patterns. Direct pattern for receptive audiences Indirect pattern for unreceptive audiences. If pleased. If mildly interested. If neutral. DIRECT PATTERN. Good News or Main Idea.

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GIS Applications

GIS Applications. Faculty of Computer Science University of Indonesia Dr. Aniati Murni. Contoh Aplikasi. Agriculture Precision Farming Electricity Distribution Network Forest Fire. GIS in Agriculture Application (Source: GIS AsiaPacific, February/March 1998).

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Objects for Organizing Data --

Objects for Organizing Data --. As our programs get more sophisticated, we need assistance organizing large amounts of data. Chapter 6 focuses on: array declaration and use arrays of objects parameters and arrays multidimensional arrays the ArrayList class

1.05k views • 85 slides

Objects for Organizing Data --

Objects for Organizing Data --. As our programs get more sophisticated, we need assistance organizing large amounts of data. : array declaration and use arrays of objects parameters and arrays multidimensional arrays the ArrayList class additional techniques for managing strings.

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Organizing Data

Organizing Data. Raw Data. Data collected in its original form. Suppose a researcher wants to do a study on the number of miles that employees of Wal-Mart travel each day. She collects the following data: (see data set 1). Frequency Distribution.

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Organizing Data

Organizing Data. Chapter 3. Revision: page 105 -118. Back ground: File System. File Contents: Customer- and Agent Files. File System. Points to take notice of:. Duplication of data leads to anomalies :

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Organizing Data

Organizing Data. Section 0.3. Example A. How many seconds are in a calendar year? How can we convert 1 year to seconds? What other time measurements do you know? 1 year = 365 days (non–leap year) 1 day = 24 hours 1 hour = 60 minutes 1 minute = 60 seconds.

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Indicators GIS data Hydrological data Land Use Map Land Use Change

Plan. Indicators GIS data Hydrological data Land Use Map Land Use Change. INDICATORS and SCENARIOS. Water demand. DRIVING FORCES. Population. Water policies. Industry. Tourism. ( Quantity and not quality ). LUC. Agriculture. Urbanization. Water quality. PRESSURE. Water resources.

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Organizing data

Organizing data. Chapter 1.3. 3 main kinds of graphs. Line graphs Bar graphs Pie charts. Line graphs. Line graphs. displays data that changes Data that is continuous X-axis shows the independent variable Y-axis shows the dependent variable Can compare data sets. Line graphs.

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Organizing Data

Organizing Data. AP Stats Chapter 1. Organizing Data. Categorical Dotplot (also used for quantitative) Bar graph Pie chart Quantitative Stemplots Unreasonable with large data sets Histogram Frequency/relative frequency. Describing Distributions. Remember “SECS-C” S – Shape

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Organizing Data

Organizing Data. Essentials Measures of Position Five-Number-Summary Example Box and Whiskers Plots Example Pearson’s Index of Skewness Example Z-scores Example Coefficient of Variation Example. Measures of Position & Exploratory Data Analysis.

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Organizing Data

Organizing Data. AP Stats Chapters 2-4. Organizing Data. Categorical Dotplot (also used for quantitative) Bar graph Pie chart Quantitative Stemplots Unreasonable with large data sets Histogram Frequency/relative frequency. Describing Distributions. Remember “SECS-C” S – Shape

201 views • 14 slides

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