Land Administration and Spatial Data Infrastructures

SUMMARY Internationally the spatial data infrastructure (SDI) concept has focussed on national SDIs. However SDIs are increasingly focussing on large scale people relevant data (land parcel based data or build environmental data) with the result that today it is suggested most SDI activity worldwide is at this level. A central aspect in understanding these developments is the evolution of mapping, and the growth of land administration systems and national mapping initiatives in different countries. The objective of this paper is to discuss the evolving nature of SDIs away from a simple national concept to a complex hierarchy where large scale SDIs are the major influence. The paper concludes with a discussion of policy development and the impact of institutional arrangements in managing spatial information.

[1]  Ian P. Williamson,et al.  The development of a historical digital cadastral database , 1990, Int. J. Geogr. Inf. Sci..

[2]  Stig Enemark Evaluation of the Cadastral Reform in Denmark: Training the Old Lady for the Skateboard , 1994 .

[3]  I. Williamson,et al.  Implications of incorporating Customary Land Tenure Data into a Land Information System , 1995 .

[4]  Paul Cross,et al.  Stochastic modelling for very high precision real-time kinematic GPS in an engineering environment , 1998 .

[5]  Ian Williamson,et al.  Cadastral Systems on the World Wide Web: A Multi-Purpose Vision , 1999 .

[6]  Ian Williamson,et al.  Spatial Data Infrastructure Concepts , 1999 .

[7]  Ian Williamson,et al.  Spatial Hierarchical Reasoning Applied to Administration Boundaries Using GIS , 1999 .

[8]  I. Williamson,et al.  UNDERSTANDING THE EVOLUTION OF LAND ADMINISTRATION SYSTEMS IN SOME COMMON LAW COUNTRIES , 1999 .

[9]  I. Williamson,et al.  The Effect of Adverse Possession to Part on a Future Australian Cadastre , 1999 .

[10]  Ian Williamson,et al.  Cadastral Trends: A Synthesis , 1999 .

[11]  I. Williamson,et al.  The evolving role of land administration in support of sustainable development , 1999 .

[12]  Abbas Rajabifard,et al.  Hierarchical Spatial Reasoning Applied to Spatial Data Infrastructures , 2000 .

[13]  Ian Williamson,et al.  Land administration “best practice” providing the infrastructure for land policy implementation , 2001 .

[14]  Ian Williamson,et al.  Researching Frameworks for evolving Spatial Data Infrastructure , 2000 .

[15]  Ian Williamson,et al.  Land Administration and Cadastral Trends: The Impact of the Changing Humankind-Land Relationship and Major Global Drivers: the NZ Experience , 2001 .

[16]  I. Williamson,et al.  Assessing Spatial Data Infrastructure Architecture for Integration withWireless Location Services , 2001 .

[17]  Abbas Rajabifard,et al.  Spatial data infrastructure frameworks to support decision-making for sustainable development , 2001 .

[18]  I. Williamson,et al.  Land administration and spatial data infrastructures: trends and developments , 2001 .

[19]  Ian Williamson,et al.  Land administration and cadastral trends — a framework for re-engineering , 2001 .

[20]  Paul Cross,et al.  Stochastic Modelling: the crucial element in high fidelity DGPS quality assessment? , 2001 .

[21]  John. A. Ristevski,et al.  The Reform of Statutory Regulations Relating to The Surveying Profession , 2001 .

[22]  E. Fendel,et al.  The role of land administration in the accession of Central European countries to the European Union , 2002 .

[23]  A. Rajabifard,et al.  Developing Spatial Data Infrastructures : From Concept to Reality , 2003 .

[24]  Abbas Rajabifard,et al.  Assessing the worldwide developments of national spatial data clearinghouses , 2004, Int. J. Geogr. Inf. Sci..

[25]  Seungho Lee,et al.  Private Sector Participation , 2006 .

[26]  Ian Williamson,et al.  Building land markets , 2006 .