International Workshop on Spatial Methods 会议主席：澳大利亚科廷大学 宋泳泽 主讲人：意大利卡利亚里大学 Alberto Tidu题目：Distance measures and pre-determined geographical units: a paradoxical co-existence?距离测量与预先确定的地理单元：一种矛盾共存？关于马尔孔-普谢 M 空间离散:Marcon and Puech M Index 可能是空间离散距离测量最准确和可靠的方法，在空间经济学具有重要意义。会议时间：2024年5月30日下午6点（珀斯/北京 时间）会议链接：Microsoft Teams Link: https://teams.microsoft.com/l/meetup-join/19%3ameeting_YzdiM2IzNzMtOGJmYy00YjU2LWFlZTUtNjFkY2RkMDg4MmM0%40thread.v2/0?context=%7b%22Tid%22%3a%225a740cd7-5768-4d09-ae13-f706b09fa22c%22%2c%22Oid%22%3a%2211e89445-361d-49fc-bfc8-8fba2ba5591a%22%7dMeeting ID: 423 758 756 932Passcode: hYZ574Abstract:Marcon & Puech’s M is perhaps the most accurate and reliable distance measure, but its applications have been scarce so far. Indeed, conciliating a local and a global reference increases both its accuracy in describing geographical concentration, and the computational intensity required for its application to large areas, such as entire regions or countries. Our proposed solution is very simple and – despite looking somehow contradictory – also very solid, both conceptually and empirically.
First, we propose a conceptual explanation of why the approximation of exact geographical locations to pre-determined geographical units does not constitute a breech of distance methods’ assumptions, at least in the way they are commonly implemented. Then, we show a real-case application of such short-range approximation, which produces almost undistinguishable results but allows for a far quicker and manageable computation.Bio:Dr. Alberto Tidu is a post-doc researcher at the University of Cagliari, where he completed a PhD in Economics with a dissertation focusing on the agglomeration and dispersion of various industries within the Italian economy, particularly examining their dynamics throughout the Great Recession. Dr. Tidu holds multiple degrees in Marketing, Politics, and Law, along with a Master of Science in Business Administration.
