Showing papers in "Geografisk Tidsskrift-danish Journal of Geography in 2019"
TL;DR: It is argued that digital plans represent a new transdisciplinary type of intentionally explicit data source for analysis of land change processes.
Abstract: Profound digitalization of public administration is gaining momentum and spatial planning is no exception. To increase the transparency of planning and its usefulness for public and private actors,...
20 citations
TL;DR: In this paper, the authors analyzed visitor monitoring and the public use of protected areas using volunteered geographic information (VGI) as a source of big data and, as the object of study, the Ebro Delta Natur...
Abstract: This paper analyses visitor monitoring and the public use of protected areas using volunteered geographic information (VGI) as a source of big data and, as the object of study, the Ebro Delta Natur...
17 citations
TL;DR: In this paper, the surface scars of the First World War (WWI; 1914-1918) are rapidly disappearing due to modern and fast changing landscapes and there is a need to monitor landscape relicts that m...
Abstract: The surface scars of the First World War (WWI; 1914–1918) are rapidly disappearing due to modern and fast changing landscapes. Therefore, there is a need to monitor landscape relicts that m...
10 citations
TL;DR: In this article, land change scientists seek to understand these land dynamics in the coupled human-environment system of urban lan..., where urban landscapes are changing in response to changes in socio-economic conditions.
Abstract: Urban landscapes are changing in response to changes in socio-economic conditions. Land change scientists seek to understand these land dynamics in the coupled human-environment system of urban lan...
9 citations
TL;DR: In this paper, a dynamic, multi-layered, spatial-temporal system is described, which mirrors the results of human-nature interactions, encompassing both material and perceived reality.
Abstract: Landscape is a dynamic, multi-layered, spatial–temporal system. It mirrors the results of human–nature interactions, encompassing both material and perceived reality. Landscape assessment requires ...
8 citations
TL;DR: Artificial drainage of agricultural fields represents a major flow path way of both water and nutrients which may contribute to eutrophication issues in the recipient waters as mentioned in this paper. But this is not the case for all agricultural fields.
Abstract: Artificial drainage of agricultural fields represents a major flow path way of both water and nutrients which may contribute to eutrophication issues in the recipient waters. Several studies have s...
7 citations
TL;DR: In this article, the authors use data from the Land Parcel Identification System (LPIS) to assess agricultural land use transition in the United States, and use it to assess the agricultural productivity.
Abstract: Worldwide, loss of farmland due to transition to other land uses is recognized as a major challenge. Data from the Land Parcel Identification System (LPIS) are potentially useful to assess agricult...
5 citations
TL;DR: The study has proven that GISualization is a methodological framework that enables analysis and visualization of complex data in a rich format that opens up for broader stakeholder involvement and community participation extending research into the domain of transdisciplinary knowledge production.
Abstract: Urban planning deals with multiple layers of information stemming from concurrent activities and stakeholders intervening in urban development. For a better management of complexity more comprehensiveness and data integration are needed. This study develops an adaptive and iterative mixed-method approach for knowledge production in urban transformation processes. Specific research questions relate to data integration from different sources and facilitation of co-production of knowledge beyond triangulation. A new multi-layer framework, GISualization, has been developed in the context of a research project exploring compact city qualities. The framework is structured through five data layers, representing different methods for data collection and different grades of complexity, richness and interpretation: basic statistics; advanced statistics; exogenous quali-quantitative descriptions; exogenous qualitative descriptions; and endogenous qualitative descriptions. Thus, data stem from both quantitative and qualitative sources. Our study has proven that GISualization is a methodological framework that enables analysis and visualization of complex data in a rich format. The approach is closely related to analytical eclecticism and abductivity. It embodies a collaborative communication platform that provides a language to navigate between heterogeneous data, information and methods. The GISualization framework opens up for broader stakeholder involvement and community participation extending research into the domain of transdisciplinary knowledge production.
5 citations
TL;DR: In this paper, the authors discuss the application of digital data in land change research and discuss the sound understanding, interpretation and thus application of such digital data and the development of methods to integrate multiple digital data sources in a transdisciplinary manner.
Abstract: Human activities alter the land surface of the Earth (Haberl et al., 2007; Hurtt et al., 2006), and one key questionwithin geography is, therefore, the assessment of land use/land cover change (LULCC) and the analysis and understanding of the underlying drivers and effects of LULCC (Brandt, Primdahl, & Reenberg, 1999; Bürgi, Hersperger, & Schneeberger, 2004; Plieninger et al., 2016). The last decades have seen amassive andwidespread digitalization of spatial and non-spatial information, which can be linked (and hence geo-referred) to specific spatial units or entities (Fuchs, Verburg, Clevers, & Herold, 2015; Goldberg, Olivares, Li, & Klein, 2014). Digitalization came relatively early to the field of land change science, mainly due to the use of geographic information systems to handle spatial data in the form of maps and remotely sensed data (Haines-Young, Green, & Cousins, 1993). It can, therefore, be argued that a long digital tradition exists within land change science, which has been open to pursue the possibilities of new data sources and methods as these have emerged. Recent years have seen an unprecedented growth in the amount of digital data as well as rapid advances in new digital methods, tools and research infrastructures across academia (Kong, 2015). This includes easy access to spatially specific information from other domains and academic fields, such as register data from government agencies, data from aerial and terrestrial sensors, and a wide range of historical data repositories. Furthermore, as many data sets are available for whole regions, countries or even at global scale, analyses of land change with large geographical coverage and at the same time at high spatial resolutions are increasingly made possible. It can be argued that a new era of digital data has opened up for transdisciplinary interactions for land change research. Yet, increased access to digital data also entails challenges related to the validity of data and the need for new approaches to integrate multiple digital data sources. All five articles in this special issue concern the application of digital data in land change research. In the following sections, we present the articles and discuss them in the wider context of: (1) the sound understanding, interpretation and thus application of digital data and (2) the development ofmethodologies to integratemultiple digital data in a transdisciplinary manner.
5 citations
TL;DR: It was determined that among transit users, the commuting distance of male commuters was negatively associated with walking when compared with female Transit users, whereas explanatory factors for private transport users bore insignificant results.
Abstract: The present study delves into the explanatory factors of the walking patterns of residents in metropolitan regions, who tend to be pressed for time when travelling to their daily destinations or ac...
5 citations
TL;DR: In this article, foreign direct investments (FDIs) are noted as an important cross-border channel for knowledge transfer and thus expanding companies can contribute to local supplying companies' capability development.
Abstract: Foreign direct investments (FDIs) are noted as an important cross-border channel for knowledge. Thus, expanding companies can contribute to local supplying companies’ capability development...
TL;DR: In this article, the historical process of urbanization is considered as a major driver for landscape change in the vicinity of major cities and urban systems and it is recognized as the major driver of landscape change.
Abstract: Urbanization has long been recognized as a major driver for landscape change in the vicinity of major cities and urban systems. Studies of the historical process of urbanization often rely on spati...
TL;DR: A travel search index based on the Baidu index was established and a local spatial model was created for the linear features in order to discuss the spatiotemporal heterogeneity of the influencing factors.
Abstract: Online travel searches are important forms of travel virtual spaces. Previous studies have neglected to analyze the spatial features of the travel searches themselves, and the spatial heterogeneity...
TL;DR: In this paper, negative emissions are essential for realizing the two-degree maximum warming target agreed by the world leaders in Paris 2015 for mitigating predicted climate change impacts, which are often f...
Abstract: Net negative emissions are essential for realizing the two-degree maximum warming target agreed by the world leaders in Paris 2015 for mitigating predicted climate change impacts, which are often f...