没有合适的资源?快使用搜索试试~ 我知道了~
Using ArcGIS Geostatistical Analyst
5星 · 超过95%的资源 需积分: 16 22 下载量 39 浏览量
2009-05-25
23:45:28
上传
评论
收藏 3.53MB PDF 举报
温馨提示
试读
40页
Tutorial PDF: Using ArcGIS Geostatistical Analyst
资源推荐
资源详情
资源评论
Using ArcGIS
™
Geostatistical Analyst
Kevin Johnston, Jay M. Ver Hoef,
Konstantin Krivoruchko, and Neil Lucas
GIS by ESRI
™
Copyright © 2001 ESRI
All Rights Reserved.
Printed in the United States of America.
The information contained in this document is the exclusive property of ESRI. This work is protected under United States copyright law and the copyright
laws of the given countries of origin and applicable international laws, treaties, and/or conventions. No part of this work may be reproduced or transmitted
in any form or by any means, electronic or mechanical, including photocopying or recording, or by any information storage or retrieval system, except as
expressly permitted in writing by ESRI. All requests should be sent to Attention: Contracts Manager, ESRI, 380 New York Street, Redlands, CA 92373-
8100, USA.
The information contained in this document is subject to change without notice.
DATA CREDITS
Carpathian Mountains data supplied by USDA Forest Service, Riverside, California, and is used here with permission.
Radioceasium data supplied by International Sakharov Environmental University, Minsk, Belarus, and is used here with permission. Copyright © 1996.
Air quality data for California supplied by California Environmental Protection Agency, Air Resource Board, and is used here with permission.
Copyright © 1997.
Radioceasium contamination in forest berries data supplied by the Institute of Radiation Safety BELRAD, Minsk, Belarus, and is used here with
permission. Copyright © 1996.
DATA DISCLAIMER
THE DATA VENDOR(S) INCLUDED IN THIS WORK IS AN INDEPENDENT COMPANY AND, AS SUCH, ESRI MAKES NO GUARANTEES AS TO THE
QUALITY, COMPLETENESS, AND/OR ACCURACY OF THE DATA. EVERY EFFORT HAS BEEN MADE TO ENSURE THE ACCURACY OF THE DATA
INCLUDED IN THIS WORK, BUT THE INFORMATION IS DYNAMIC IN NATURE AND IS SUBJECT TO CHANGE WITHOUT NOTICE. ESRI AND
THE DATA VENDOR(S) ARE NOT INVITING RELIANCE ON THE DATA, AND ONE SHOULD ALWAYS VERIFY ACTUAL DATA AND INFORMATION.
ESRI DISCLAIMS ALL OTHER WARRANTIES OR REPRESENTATIONS, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. ESRI AND THE DATA VENDOR(S) SHALL
ASSUME NO LIABILITY FOR INDIRECT, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES, EVEN IF ADVISED OF THE POSSIBILITY
THEREOF.
U. S. GOVERNMENT RESTRICTED/LIMITED RIGHTS
Any software, documentation, and/or data delivered hereunder is subject to the terms of the License Agreement. In no event shall the U.S. Government acquire
greater than RESTRICTED/LIMITED RIGHTS. At a minimum, use, duplication, or disclosure by the U.S. Government is subject to restrictions as set forth in
FAR §52.227-14 Alternates I, II, and III (JUN 1987); FAR §52.227-19 (JUN 1987) and/or FAR §12.211/12.212 (Commercial Technical Data/Computer
Software); and DFARS§252.227-7015 (NOV 1995) (Technical Data) and/or DFARS §227.7202 (Computer Software), as applicable. Contractor/Manufacturer
is ESRI, 380 New York Street, Redlands, CA 92373-8100, USA.
ESRI and the ESRI globe logo are trademarks of ESRI, registered in the United States and certain other countries; registration is pending in the European
Community. ArcGIS, ArcCatalog, ArcMap, 3D Analyst, and GIS by ESRI are trademarks and www.esri.com and www.arconline.esri.com are service marks of
ESRI.
Other companies and products mentioned herein are trademarks or registered trademarks of their respective trademark owners.
Attribution.p65 03/23/2001, 8:32 AM1
IN THIS CHAPTER
11
With the Geostatistical Analyst, you can easily create a continuous surface,
or map, from measured sample points stored in a point-feature layer, raster
layer, or by using polygon centroids. The sample points may be measurements
such as elevation, depth to the water table, or levels of pollution, as is the case
in this tutorial. When used in conjunction with ArcMap, the Geostatistical
Analyst provides a comprehensive set of tools for creating surfaces that can
be used to visualize, analyze, and understand spatial phenomena.
Tutorial scenario
The U.S. Environmental Protection Agency is responsible for monitoring
atmospheric ozone concentration in California. Ozone concentration is mea-
sured at monitoring stations throughout the State.
The locations of the stations are shown here. The
concentration levels of ozone are known for
all of the stations, but we are also interested in
knowing the level for every location in California.
However, due to cost and practicality, monitoring
stations cannot be everywhere. The Geostatistical
Analyst provides tools that make the best predic-
tions possible by examining the relationships
between all of the sample points and producing a
continuous surface of ozone concentration,
standard errors (uncertainty) of predictions, and
probabilities that critical values are exceeded.
Quick-start tutorial
2
• Exercise 1: Creating a surface
using default parameters
• Exercise 2: Exploring your data
• Exercise 3: Mapping ozone con-
centration
• Exercise 4: Comparing models
• Exercise 5: Mapping the probabil-
ity of ozone exceeding a critical
threshold
• Exercise 6: Producing the final
map
Tutorial.p65 03/07/2001, 2:38 PM 11
12 USING ARCGIS GEOSTATISTICAL ANALYST
The data youll need for this tutorial is included on the
Geostatistical Analyst installation disk. The datasets were
provided courtesy of the California Air Resources Board.
The datasets are:
Dataset Description
ca_outline Outline map of California
ca_ozone_pts Ozone point samples (ppm)
ca_cities Location of major Californian cities
ca_hillshade A hillshade map of California
The Ozone dataset (ca_ozone_pts) represents the 1996
maximum eight-hour average concentration of ozone in
parts per million (ppm). (The measurements were taken
daily and grouped into eight-hour blocks.) The original data
has been modified for the purposes of the tutorial and
should not be taken to be accurate data.
From the ozone point samples (measurements), you will
produce two continuous surfaces (maps), predicting the
values of ozone concentration for every location in the State
of California based on the sample points that you have. The
first map that you create will simply use all default options
to show you how easy it is to create a surface from your
sample points. The second map that you produce will allow
you to incorporate more of the spatial relationships that are
discovered among the points. When creating this second
map, you will use the ESDA tools to examine your data.
You will also be introduced to some of the geostatistical
options that you can use to create a surface such as
removing trends and modeling spatial autocorrelation. By
Introduction to the tutorial
using the ESDA tools and working with the geostatistical
parameters, you will be able to create a more accurate
surface.
Many times it is not the actual values of some caustic
health risk that is of concern, but rather if it is above some
toxic level. If this is the case immediate action must be
taken. The third surface you create will assess the probabil-
ity that a critical ozone threshold value has been exceeded.
For this tutorial, the critical threshold will be if the maximum
average of ozone goes above 0.12 ppm in any eight-hour
period during the year; then the location should be closely
monitored. You will use the Geostatistical Analyst to predict
the probability of values complying with this standard.
This tutorial is divided into individual tasks that are designed
to let you explore the capabilities of the Geostatistical
Analyst at your own pace. To get additional help, explore
the ArcMap online Help system or see Using ArcMap.
Tutorial.p65 03/07/2001, 2:38 PM12
QUICK-START TUTORIAL 13
Exercise 1 takes you through accessing the Geostatisti-
cal Analyst and through the process of creating a
surface of ozone concentration to show you how easy it
is to create a surface using the default parameters.
Exercise 2 guides you through the process of exploring
your data before you create the surface in order to spot
outliers in the data and to recognize trends.
Exercise 3 creates the second surface that considers
more of the spatial relationships discovered in Exercise 2
and improves on the surface you created in Exercise 1.
This exercise also introduces you to some of the basic
concepts of geostatistics.
Exercise 4 shows you how to compare the results of the
two surfaces that you created in Exercises 1 and 3 in
order to decide which provides the better predictions of
the unknown values.
Exercise 5 takes you through the process of mapping the
probability that ozone exceeds a critical threshold, thus
creating the third surface.
Exercise 6 shows you how to present the surfaces you
created in Exercises 3 and 5 for final display, using
ArcMap functionality.
You will need a few hours of focused time to complete the
tutorial. However, you can also perform the exercises one
at a time if you wish, saving your results after each exer-
cise.
Tutorial.p65 03/07/2001, 2:38 PM13
剩余39页未读,继续阅读
资源评论
- wrzh20082011-09-19专业性强,有一定的价值
fjiog
- 粉丝: 0
- 资源: 1
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
- 农村信用社联合社计算机信息系统投产与变更管理办.docx
- 农村信用社联合社计算机信息系统数据管理办法.docx
- 利用SPSS作临床效度分析线上计算网站介绍-医学研究部统计谘.(医学PPT课件).ppt
- 利用Zabbix监控mysqldump定时备份数据库状态.docx
- 利用计算机解决问题的基本过程.doc
- 化工铁路通信工程总结.doc
- 北京大学网络教育软件工程作业.docx
- 医药公司(连锁店)计算机操作规程未新系统的自行按照旧制修改-新系统过制的编号加修模版.doc
- 医药公司(连锁店)计算机系统操作规程模版.doc
- 医药连锁门店计算机系统的操作和管理程序未新系统的自行按照旧制修改-新系统过制的编号加修模版.docx
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功