EDITED BY HARLAN ONSRUD and ABBAS RAJABIFARD GSDI ASSOCIATION PRESS Spatial Enablement in Support of Economic Development and Poverty Reduction

A spatial data infrastructure (SDI) is a complex integrated network of spatial data producers, distributors and consumers that can be viewed as an extended geographic information enterprise. A way of gaining a better understanding of an SDI is to break it down into its constituent components so that individual SDI entities and their interactions can be analyzed. Prior SDI literature suggests analyzing SDIs as complex adaptive systems as they are dynamic rather than static in terms of behavioral aspects. The supply-chain model has been used to map, model and analyze complex business processes. This study views an SDI from the supply chain perspective by describing the business processes towards the creation of spatial data sets and the participation of different actors in this value-addition process. We discuss the benefits of applying the supply chain model not only in modeling the processes but also in managing the SDI as a whole. We model the supply chain for land administration data and discuss its relevance in analyzing the SDI. SDIs are crucial to sustainable development and thus, it is of importance that they operate effectively. Supply chain management has a history of better managing, monitoring and improving the efficiency of individual organizations within the manufacturing industry. This chapter details the applicability of supply chain management in improving its operational efficiency and effectiveness of the SDI but with focus on land administration data.