Algorithmic Foundation of Multi-Scale Spatial Representation
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"Algorithmic Foundation of Multi-Scale Spatial Representation" by Zhilin Li is a mathematics book and learning resource focused on Astronomical Data. Best for teachers, students, and readers looking for stronger mathematical understanding.
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
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"Algorithmic Foundation of Multi-Scale Spatial Representation" by Zhilin Li is a mathematics book and learning resource focused on Astronomical Data. Best for teachers, students, and readers looking for stronger mathematical understanding.
Topic: Astronomical Data
Author: Zhilin Li
Who this is for:
- Teachers and classroom instructors
- Students building subject mastery
- Readers looking for practical learning support
Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.
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
| Author | Zhilin Li |
| Publisher | CRC Press |
| Published | 2020-06-30 |
| ISBN-13 | 9780367577797 |
| Binding | Paperback |
| Pages | 281 |
| Language | English |
| Subjects | Algorithms |
| Topic | Astronomical Data |
Format: Paperback
Length: 281 pages
Language: English
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