Problems Arising From A Simple GIS Generalisation Algorithm

نویسندگان

  • Mark R. Johnston
  • Christine D. Scott
  • Robert G. Gibb
چکیده

Practical GIS generalisation using existing Arc/Info operations invariably follows a simple, generic generalisation algorithm. Typically the algorithm consists of dissolving adjacent polygons with the same attribute value, line generalisation, selection of all polygons of small area, and elimination of selected polygons by merging with the neighbouring polygon of largest area. This paper addresses two fundamental problems with this simple algorithm: performing topologically consistent line generalisation that preserves polygon adjacencies; and establishing criteria and operators for selection of polygons as candidates for elimination. In particular, we consider the utility of the polygon skeleton in each of these contexts. These problems arose in attempts to reproduce a generalised Soil Map of New Zealand from higher resolution soils polygons of the New Zealand Land Resource Inventory. We have developed additional tools that operate on existing Arc/Info coverages and contribute further generalisation logic.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Interactive Segmentation and Generalization Framework for Mapping Features from Landsat 7 Imagery

Generalisation of both raster and vector data is one of the challenging tasks for cartographers. It is particularly difficult to automatically generalise raster thematic maps derived from remotely sensed data. This paper aims to overview the past and current developments in generalisation of raster data and to present the authors’ efforts in developing a methodology to extract and generalise la...

متن کامل

استفاده از الگوریتم ژنتیک در مسائل کوتاهترین مسیر چند معیاره بر پایه سیستمهای اطلاعات مکانی

Multi-criteria shortest path problems (MSPP) are called as NP-Hard. For MSPPs, a unique solution for optimizing all the criteria simultaneously will rarely exist in reality. Algorithmic and approximation schemes are available to solve these problems; however, the complexity of these approaches often prohibits their implementation on real-world applications. This paper describes the development ...

متن کامل

Cartographic Algorithms: Problems of Implementation and Evaluation and the Impact of Digitising Errors

Cartographic generalisation remains one of the outstanding challenges in digital cartography and Geographical Information Systems (GIS). It is generally assumed that computerisation will lead to the removal of spurious variability introduced by the subjective decisions of individual cartographers. This paper demonstrates through an in-depth study of a line simplification algorithm that computer...

متن کامل

A Trust Region Algorithm for Solving Nonlinear Equations (RESEARCH NOTE)

This paper presents a practical and efficient method to solve large-scale nonlinear equations. The global convergence of this new trust region algorithm is verified. The algorithm is then used to solve the nonlinear equations arising in an Expanded Lagrangian Function (ELF). Numerical results for the implementation of some large-scale problems indicate that the algorithm is efficient for these ...

متن کامل

Designing a Meta-Heuristic Algorithm Based on a Simple Seeking Logic

Nowadays, in majority of academic contexts, it has been tried to consider the highest possible level of similarities to the real world. Hence, most of the problems have complicated structures. Traditional methods for solving almost all of the mathematical and optimization problems are inefficient. As a result, meta-heuristic algorithms have been employed increasingly during recent years. In thi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1999