Geographic Information Systems and Science has become the pre-eminent textbook in its field, for students and practitioners alike. Its unique approach communicates the richness and diversity of CIS in a lucid and accessible format. This fully revised and updated second edition reinforces the view of CIS as a gateway to science and problem solving, sets out the scientific principles that govern its use, and describes the impact of people on its development, design, and success. The second edition of Geographic Information Systems and Science includes:
A new five-part structure: Foundations; Principles; Techniques; Analysis; and Management and Policy.
All-new personality boxes of current GIS practitioners.
New real-world applications of GIS.
New or expanded coverage of important current topics:
Location-based services
Distributed computing
Virtual and augmented realities
Homeland security
Business GIS and geodemographics
The emergence of geoportals
Grand challenges of GIScience
A new suite of instructor and student resources http://www.wiley.com/go/longley
The second edition of Geographic Information Systems and Science is essential reading for undergraduates taking courses in GIS within departments of Geography, Environmental Science, Business (and Public) Administration, Computer Science, Urban Studies, Planning, Information Science, Civil Engineering, and Archaeology. It is also provides a key resource for foundation GIS courses on taught MSc and other higher-degree programs. Professional users of GIS from governmental organizations and industries across the private sector will find this book an invaluable resource with a wealth of relevant applications.
VERY well-written book, interesting and full of examples and vignettes. Could use a little help in the math department, but other than that, it's a fabulous introduction to GIS.
I find this book overly complicated as an introductory book in certain regard with overly complicated language. I also keep wishing that it was rearranged with chapter that are in the middle maybe should in the beginning to provide a better introduction. Finally I also keep seeing grammar errors or just weird mistakes that can make it difficult to read and understand. Some of this may be due to the fact that I'm having to read it on my own with little outside help but it is still frustrating especially in the first 5 chapters.
To put it simply, this was not a useful textbook. It is overly complicated, doesn't clearly define new terms/concepts, and overall has an odd organization of topics.
Was not expecting this book to include, and have thoroughly enjoyed so far:
• its critiques of GIS, ex Pickles' 1993 book • discussion of the social implications of GIS, including GIS use in surveillance by private entities and non-govt agents • the idea that "the world can be understood as a series of layers of different types of information, that can be added together meaningfully... to arrive at conclusions" (69). • "...much wider communication became possible with the invention of the printing press in the Fifteenth Century. Now large numbers of copies of a representation could be made and distributed, and for the first time it became possible to imagine that something could be known by every human being- that knowledge could be the common property of humanity." (79) Gah! I wish all textbooks were so beautifully written. • "Information... has a number of unusual characteristics as a commodity. In particular, it does not wear out through use, though it may diminish in value as time passes... Use by one individual does not reduce availability to others... This characteristic is summarized in this famous Thomas Jefferson quotation: 'He who receives an idea from me, receives instruction himself without lessening mine; as he who lights his taper at mine, receives light without darkening mine.'" (457).
Ideas that I'd like to read up on further:
• inferring process from pattern or function from form (69). • "Geography is a science that has very few natural units of analysis" (57), and in general would like to follow up further on stats and theory related to the MAUP. • Object data models.
A primer. Has some of the throwaway, overwrought language of a high school textbook attempting to make up for its inability to get in depth with such basic, cornerstone material, but I have learned many things since I began reading it.