Abstract

The spatial patterns of landscapes are complex. Highly dense urban centers are not just mirrowed in a dichotomic sense by rural environments; landscapes are a spatially variable continuum. In this logic, nation-states (or any political or administrative unit) spatially integrate different types and physical appearances of land cover. Understanding regions in the sense that similar physical characteristics may construct alternative (natural) spatial entities which may sub-divide or cross-over adminstrative boundaries allows us to overcome common map projections. However, which indicators and which regional logics define and delimit regions is conceptually vague. With this paper we aim to add an empirical study to identify regional phenomena in Europe. To do so, we take advantage of a new data set from remote sensing, the Global Urban Footprint. It features European-wide consistent spatial information on settlement patterns. We use density and distribution of settlements as indicators for delimiting regions by similar characteristics. Our methodological approach classifies urban nodes (by settlement density and size), spans an unbounded soft space by the classification of spatial connectivity between nodes (by continuous settlement) and maps territorial entities (by density around nodes); the approach is following a space of place logic. From a geographic perspective we identify uneven development across Europe. The corridor streching from England via the Benelux areas via Germany, Switzerland, France to Northern Italy is mapped as the European backbone; however, new focal areas such as, e.g., towards eastern Europe are also detected. Applying a plausibility check reveals that the proxy settlement pattern corresponds well with regional conceptions presented in other studies.

Highlights

  • For the identification of regional phenomena related to similar charactistics of settlement patterns across Europe, we present in the following the data sets used, the developed chronologic workflow and the methodological steps

  • For every area detected across Europe fulfilling both criteria—high settlement density and comparatively large area of high settlement density—we locate the urban node as geometric centroid within the respective area. (e) Triangulation: After having located all urban nodes by the conditions introduced above, we aim to assess spatial connectivity between these cardinal points

  • The latest Earth observation (EO)-data set on settlement patterns—the Global Urban Footprint—is one significant new data set meeting the desire as formulated by Harrison [4] for more grounded and empirical research for interpreting regions

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Summary

Introduction

The arrangement of space by the nation-state or any other administrative entity spatially captures a political level of action and it is often used for comparative studies on disparities. These geographical units cannot be taken for granted. Constructed areas do not necessarily reflect natural units or regions understood as an associated, bounded spatial entity of similar characteristics (economic, cultural, social, physical, etc.). In consequence, these spatial representations are hiding even or uneven developments at finer or larger scales. We have to find out what and who can be aggregated to reasonable entities [1]

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