No products in the cart.
Use coupon code “MARCH20” for a 20% discount on all items! Valid until 31-03-2025
Royal Mail express delivery to UK destinations
Regular sales and promotions
Stock updates every 20 minutes!
We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.
The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ...
Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.
Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.
Use coupon code “MARCH20” for a 20% discount on all items! Valid until 31-03-2025
Royal Mail express delivery to UK destinations
Regular sales and promotions
Stock updates every 20 minutes!
1 in stock
£45.99
Buy new:
Delivery: UK delivery Only. Usually dispatched in 1-2 working days.
Shipping costs: All shipping costs calculated in the cart or during the checkout process.
Standard service (normally 2-3 working days): 48hr Tracked service.
Premium service (next working day): 24hr Tracked service – signature service included.
Royal mail: 24 & 48hr Tracked: Trackable items weighing up to 20kg are tracked to door and are inclusive of text and email with ‘Leave in Safe Place’ options, but are non-signature services. Examples of service expected: Standard 48hr service – if ordered before 3pm on Thursday then expected delivery would be on Saturday. If Premium 24hr service used, then expected delivery would be Friday.
Signature Service: This service is only available for tracked items.
Leave in Safe Place: This option is available at no additional charge for tracked services.
| Product ID: | 9780367577797 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Algorithmic Foundation of Multi-Scale Spatial Representation |
| Authors: | Author: Zhilin Li |
| Page Count: | 304 |
| Subjects: | Human geography, Human geography |
| Description: | With the widespread use of GIS, multi-scale representation has become an important issue in the realm of spatial data handling. Focusing on geometric transformations, this resource presents comprehensive coverage of the low-level algorithms available for the multi-scale representations of different types of spatial features, including point cluster 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. |
| Imprint Name: | CRC Press |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2020-06-30 |
GoBookshop!
Proudly owned and operated by:
Raythex LTD
17-19 Saint Georges Street
NORWICH
NR3 1AB
Registered No. 15042401
We accept the following payment methods:
