Paperback: 252 pages
Publisher: Esri Press; 1 edition (July 1, 2005)
Product Dimensions: 7.6 x 0.6 x 8.9 inches
Shipping Weight: 1.5 pounds (View shipping rates and policies)
Average Customer Review: 4.1 out of 5 stars See all reviews (21 customer reviews)
Best Sellers Rank: #119,270 in Books (See Top 100 in Books) #7 in Books > Computers & Technology > Programming > Graphics & Multimedia > GIS #16 in Books > Computers & Technology > Graphics & Design > Computer Modelling > Remote Sensing & GIS #18 in Books > Science & Math > Earth Sciences > Geography > Information Systems
This is definitely not a book for advanced users in spatial statistics or a tutorial-based book of how to use spatial statistics in GIS. As the author described at the very beginning, this is an introductory book for people who have used GIS but know very little about statistics. Personally, I think this book works best if you already took your intro to GIS and basic statistic class so you already know a little bit of both. It explains how two of them can work together to solve the questions you have in mind about the real world problems.Besides the complimentary approach, I give this book five stars because of 1) the writing style is extremely accessible. Even he does not go through all the details on statistics, the author explains the statistic concepts a lot better than any other books I have read for my statistic class. 2) the graphics, including maps and charts, are extremely helpful to compare the concepts and different methods he describes in the book. 3) the comparison between different spatial statistic are very useful if you are puzzled with different spatial statistic tools available in your ArcGIS toolbox when the "Help" is not helpful at all! 4) it gives you various reference if you are interested in exploring specific topics.If you want to explore your data beyond thematic mapping and want to know whether the patterns you see are statistically significant or not, this is a book that will open the door of spatial statistic to you. If you are a visual person but hate statistics, this book might change that as well!
I was not sure if I should give this book 4 stars or 3. I first decided on 4 because the book only does not go into enough detail about difficult subjects like the null hypothesis, which is crucial to understanding everything that follows, and there were no Z-score or critical t-value tables, which would of been nice. Then as I fumbled around I found out that there are typos which further makes learning a new subject more difficult. For example on one page a symbol is written as Ge(d) and on the next page Gd(e), or sentences are wrong like, "...subtracts the value of each feature from the mean..." and two sentences later it says, "...the mean is subtracted from the value of the feature...". Hmmm. The book needs reworking. Because of the typos problem, I settled on 3 stars.Nevertheless, it is an important source about an important subject, and i would recommend it. I just hope the author revisits it and expands it a little more, removes the typos and adds some statistical tables in the back.
This book provides a useful introduction to the concepts of measuring spatial distributions, identifying patterns and clusters, and identifying patterns. There is the basic information about how to identify geographic centers with mean and median, and general statistical distributions and tests of significance. The section on identifying clusters was good, but the nearest neighbor hierarchical clustering is only available in Crime stat. One disappointing thing about this book from ESRI, is there is not a mention of what specific ArcGIS toolbox item can be used to generate the statistic. It was also not always clear what analysis made sense for lines, polygons or points. A further discussion of raster analysis and the connection between measures of mean, and some of the raster neighborhood statistics would have been useful. .
Spatial statistics can be a very cumbersome topic, but Mitchell goes through it in a good, linear fashion. I don't need to know the mathematics behind the statistical methods (although he provides them) I instead want to know when and how the tools are applied.Even though this is an ESRI book, several of the topics he discusses are actually not available in ArcGIS. It also falls short of showing how to run any particular software package, but that makes it more universal for study with other software.Now it has the added benefit of having a tutorial book that follows it chapter by chapter ... including the ESRI Guide to GIS Analysis Vol 2. The book is GIS Tutorial II, and you can order it and both Mitchell books bundled into a special price!GIS Tutorial II: Spatial Analysis Workbook for version 9.3 andGIS Tutorial 2: Spatial Analysis Workbook for version 10.
Excellent, simple, reference book for GIS analysis. If you are a beginner with GIS analysis this book is ideal, at the same time, if you use more advanced methods, but are not constantly using the technology you will definitely want this as a reference. When in doubt with more complicated methodology, go back to the basics with this book. I lost it and got it again, this is how useful I think it is.
Although the book gives nice examples on ways to analyze spatial data, this ESRI book lacks specifics on how to do this in their base software or extensions. Documentation for CrimeStat by Ned Levine and Associates explains spatial analysis better, is free and is cited in this book. The documentation for CrimeStat is also better.
It is an OK reference book, but I often end up google searching stuff that I know I've read because it is hard to find again with the format of the book. Index does an OK job, but not very specific.Professor switched to this book for our class and seems to still reference the other book she's previously used more than she does this one, so perhaps not a complete book of analysis techniques.
The Esri Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics The ESRI Guide to GIS Analysis Volume 1: Geographic Patterns & Relationships Statistics for People Who (Think They) Hate Statistics (Salkind, Statistics for People Who(Think They Hate Statistics(Without CD)) GIS and Spatial Analysis in Veterinary Science GIS Tutorial 2: Spatial Analysis Workbook Spatial Reasoning Tests - The Ultimate Guide to Passing Spatial Reasoning Tests (Testing Series) Ecocriticism and Geocriticism: Overlapping Territories in Environmental and Spatial Literary Studies (Geocriticism and Spatial Literary Studies) Spatial Evolutionary Modeling (Spatial Information Systems) Placing History: How Maps, Spatial Data, and GIS Are Changing Historical Scholarship Making Spatial Decisions Using GIS and Lidar: A Workbook Spatial Databases: With Application to GIS (The Morgan Kaufmann Series in Data Management Systems) GIS Research Methods: Incorporating Spatial Perspectives Designing Better Maps: A Guide for GIS UsersA Guide for GIS Users Spatial Point Patterns: Methodology and Applications with R (Chapman & Hall/CRC Interdisciplinary Statistics) Time Series Modeling for Analysis and Control: Advanced Autopilot and Monitoring Systems (SpringerBriefs in Statistics / JSS Research Series in Statistics) Esri Map Book, Volume 31 Esri ArcGIS Desktop Associate Certification Study Guide Getting to Know ArcGIS Desktop: Basics of ArcView, ArcEditor, and ArcInfo (Getting to Know (ESRI Press)) Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications (Lecture Notes in Geoinformation and Cartography) Value of Information in the Earth Sciences: Integrating Spatial Modeling and Decision Analysis