It takes the average reader 4 hours and 42 minutes to read Algorithmic Foundation of Multi-Scale Spatial Representation by Zhilin Li
Assuming a reading speed of 250 words per minute. Learn more
With the widespread use of GIS, multi-scale representation has become an important issue in the realm of spatial data handling. However, no book to date has systematically tackled the different aspects of this discipline. Emphasizing map generalization, Algorithmic Foundation of Multi-Scale Spatial Representation addresses the mathematical basis of multi-scale representation, specifically, the algorithmic foundation. Using easy-to-understand language, the author focuses on geometric transformations, with each chapter surveying a particular spatial feature. After an introduction to the essential operations required for geometric transformations as well as some mathematical and theoretical background, the book describes algorithms for a class of point features/clusters. It then examines algorithms for individual line features, such as the reduction of data points, smoothing (filtering), and scale-driven generalization, followed by a discussion of algorithms for a class of line features including contours, hydrographic (river) networks, and transportation networks. The author also addresses algorithms for individual area features, a class of area features, and various displacement operations. The final chapter briefly covers algorithms for 3-D surfaces and 3-D features. Providing a thorough treatment of low-level algorithms, Algorithmic Foundation of Multi-Scale Spatial Representation supplies the mathematical groundwork for multi-scale representations of spatial data.
Algorithmic Foundation of Multi-Scale Spatial Representation by Zhilin Li is 281 pages long, and a total of 70,531 words.
This makes it 95% the length of the average book. It also has 86% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 25 minutes to read Algorithmic Foundation of Multi-Scale Spatial Representation aloud.
Algorithmic Foundation of Multi-Scale Spatial Representation is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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