1,720,987 research outputs found
Metadata - Soviet 50K topographic maps of Denmark 1952-1988
Dataset of metadata extracted from 1:50.000-scale Soviet topographic maps covering Denmark from the period 1952-1988. Version 1.0 (19-12-2018) Collected and organized by Stig Svenningsen and Mads Linnet Perner based on maps from the collection of the Royal Danish Library. You are welcome to use the data for research purposes if you provide the following reference: Svenningsen, Stig Roar; Levin, Gregor & Perner; Mads Linnet (2019) ”Metadata - Soviet 50K topographic maps of Denmark 1952-1988
The use of maps and GIS in social history and historical demography: Three cases
I de senere år har social- og kulturhistorien genopdaget geografien som en del af det, der populært sagt kaldes den rumlige vending, og et stigende antal studier tager nu udgangspunkt i rum som analysekategori. Især i den del af feltet, der beskæftiger sig med Geografiske Informations-systemer (GIS), har opmærksomheden været rettet mod gamle kort, som kan bruges til at sætte koordinater på individer og beskrive deres omgivelser. Samtidigt bringes historiske kort i spil i nye sammenhænge, f.eks. i kombination med digitale, geografiske tekstanalyser. Artiklen tager udgangspunkt i eksempler fra dansk og udenlandsk forskning og diskuterer nye muligheder og potentielle problematikker inden for brugen af kortmateriale i socialhistorien.This article discusses the possibilities and limitations of analyzing historical individual-level records using GIS data based on historical maps. There is a lot to gain in both research and data management from harnessing the geographical information contained in historical sources. However, building infrastructure is a time-consuming process and even when complete it has certain limitations. This article approaches this discussion from two angles. The first one focuses on the benefits of utilizing existing resources in research with the example of pre-industrial Copenhagen. The second angle focuses on the process of building infrastructure by slightly alternative means, namely using a register of aerial photographs combined with crowd sourcing in order to construct a farm-level GIS
Krigsramte bønder. Den demografiske udvikling i et sønderjysk søgn 1620-60
As soldiers lived off the land in occupied territories, 17th-century warfare had vast consequences for rural populations. The demographic system was put under pressure as fertility dropped and the transmission of disease led to highly increased mortality. This article studies the long-term demographic consequences of war in Øster Løgum, a parish in the duchy of Schleswig, by attempting to reconstruct the size of its population. It focuses on three periods when foreign troops occupied the duchy: 1627–29, 1644–45 and 1657–60. The study shows that the impact of war varied with regard to mortality: the first and third wars were very deadly to the local population, but the second was not. However, a temporary decrease in fertility was common to all three periods. Further, some major difficulties associated with estimating population sizes across mortality crises are discussed
War, Suffering and Disease in a Rural Parish:The case of Øster Løgum in Southern Denmark during the Thirty Years War
Inequalities in early life mortality:Exploring sex, social class and place as risk factors of death in nineteenth and early twentieth century Denmark
Dødelighedens ulighed i de unge år.This dissertation examines mortality inequalities in infancy, childhood and adolescence before and during the mortality decline of the late nineteenth and early twentieth centuries. It focuses on three measureable factors that each played a role in shaping people’s health: sex and gender, social class and geographical place. Sex and gender refer to both the physiological differences between men and women, which at different stages in their lives have increased or decreased their health (sex), and the socially constructed gender, which in Denmark and Europe in the nineteenth century shaped the lives of individuals in many ways that could affect their mortality. Social class determined the economic resources available to a family, and thereby their level of nutrition, housing standards and the amount of time they could spare for childcare. Geographical place affected individuals through the natural and social environment that was exposed to them on a daily basis which, especially for infants, could impact their health significantly. The dissertation consists of three distinct case studies, each focusing on one of the above factors, though there are several overlaps between them. The first, which focuses on gender-specific differences in mortality, concludes that the female population, from late childhood and until late adolescence, had a significantly higher mortality than males, and considers how gender discrimination may have contributed to this pattern. The second, which follows a cohort of children in Copenhagen in the late 1880s, shows that children from working-class families had an up to 30 percent higher risk of dying than those from middle and upper classes, and that the disparity was greatest among girls. In the third case study, which examines infant mortality at the parish level from 1835 to 1915, I delineate areas with relatively high or low mortality and examine its seasonal distribution and development over time. The analysis points to quite divergent patterns between high mortality clusters, suggesting that the reasons for their high mortality likely varied as well. Overall, the dissertation illustrates that health inequality is not just a modern phenomenon. There were already significant inequalities in the average lifespan of the Danish population in the nineteenth centur
Military land use DK dataset 1870 - 2017
This dataset contains geographical delineation of 113 current and former (as of 2017) defence sites in Denmark including information about the land use development and time of military use on each site. The data is available as an ESRI shapefile in UTM ETRS89 32N projection with attribute values. This dataset is a result of a research project “Military land use history” funded by the Danish Ministry of Defence Estate Agency (MDEA).You are welcome to use the data for research purposes if you provide the following reference: Svenningsen, Stig Roar; Levin, Gregor & Perner; Mads Linnet (2019) ”Military land use DK dataset
Reconstructing historical rural addresses with VGI and digitized aerial photography
This paper describes an attempt to develop a historical GIS of farms with metadata from digitized aerial photography. With the current effort of mass digitization, wide ranges of new data sources are becoming available to historical scholars. However, for these digital sources to be included in new scholarship, a prerequisite is the research infrastructure necessary to process them. Our project has examined how metadata on digitized aerial photography, generated by volunteers in the Royal Danish Library’s crowdsourcing effort, might provide a short cut to historical GIS infrastructure, which would otherwise require significant resources to build. As part of the digitization of thousands of aerial photographs of rural properties, the library had the help of volunteers to geo-locate each photograph. As each photograph often represented a single property, the data points and their metadata are representative of a certain address. This paper outlines the steps we took to develop the raw material into a dataset containing locations of historical rural addresses. Based on a pilot study of a limited area, we discuss the quality and accuracy of the data resulting from our approach. We found that the overall quality of data extracted is acceptable compared with a traditional approach by digitizing farm-localities by an expert in a GIS.This paper describes an attempt to develop a historical GIS of farms with metadata from digitized aerial photography. With the current effort of mass digitization, wide ranges of new data sources are becoming available to historical scholars. However, for these digital sources to be included in new scholarship, a prerequisite is the research infrastructure necessary to process them. Our project has examined how metadata on digitized aerial photography, generated by volunteers in the Royal Danish Library’s crowdsourcing effort, might provide a short cut to historical GIS infrastructure, which would otherwise require significant resources to build. As part of the digitization of thousands of aerial photographs of rural properties, the library had the help of volunteers to geolocate each photograph. As each photograph often represented a single property, the data points and their metadata are representative of a certain address. This paper outlines the steps we took to develop the raw material into a dataset containing locations of historical rural addresses. Based on a pilot study of a limited area, we discuss the quality and accuracy of the data resulting from our approach. We found that the overall quality of data extracted is acceptable compared with the traditional approach of manually plotting in farm-localities by hand
Using GIS and historical digitized aerial imagery and maps to analyse information on Cold War Soviet military maps of Denmark
Reconstructing historical rural addresses with VGI and digitized aerial photography
This paper describes an attempt to develop a historical GIS of farms with metadata from digitized aerial photography. With the current effort of mass digitization, wide ranges of new data sources are becoming available to historical scholars. However, for these digital sources to be included in new scholarship, a prerequisite is the research infrastructure necessary to process them. Our project has examined how metadata on digitized aerial photography, generated by volunteers in the Royal Danish Library’s crowdsourcing effort, might provide a short cut to historical GIS infrastructure, which would otherwise require significant resources to build. As part of the digitization of thousands of aerial photographs of rural properties, the library had the help of volunteers to geo-locate each photograph. As each photograph often represented a single property, the data points and their metadata are representative of a certain address. This paper outlines the steps we took to develop the raw material into a dataset containing locations of historical rural addresses. Based on a pilot study of a limited area, we discuss the quality and accuracy of the data resulting from our approach. We found that the overall quality of data extracted is acceptable compared with a traditional approach by digitizing farm-localities by an expert in a GIS.This paper describes an attempt to develop a historical GIS of farms with metadata from digitized aerial photography. With the current effort of mass digitization, wide ranges of new data sources are becoming available to historical scholars. However, for these digital sources to be included in new scholarship, a prerequisite is the research infrastructure necessary to process them. Our project has examined how metadata on digitized aerial photography, generated by volunteers in the Royal Danish Library’s crowdsourcing effort, might provide a short cut to historical GIS infrastructure, which would otherwise require significant resources to build. As part of the digitization of thousands of aerial photographs of rural properties, the library had the help of volunteers to geolocate each photograph. As each photograph often represented a single property, the data points and their metadata are representative of a certain address. This paper outlines the steps we took to develop the raw material into a dataset containing locations of historical rural addresses. Based on a pilot study of a limited area, we discuss the quality and accuracy of the data resulting from our approach. We found that the overall quality of data extracted is acceptable compared with the traditional approach of manually plotting in farm-localities by hand
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