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  Subjects -> GEOGRAPHY (Total: 493 journals)
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KN : Journal of Cartography and Geographic Information
Number of Followers: 1  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2524-4957 - ISSN (Online) 2524-4965
Published by Springer-Verlag Homepage  [2467 journals]
  • “Sponge Maps”: Using the Concept of Value by Area Maps for Avoiding
           the Area Size Bias in Choropleth Maps

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      Abstract: Abstract A well-known problem with choropleth maps is the cognitively induced effect that larger regions are perceived as more dominant. Consequently, unsatisfactory detection rates for small areas can result, which becomes relevant when important spatial features or patterns are explored (e.g., regions with maximum values). One possible approach to avoiding the area size bias is the use of cartograms. While there is already some work on Equal Are Unit Maps, little or no research has been done on the possibility of applying the concept of Value By Area Maps to transform the reference area maps. One goal of this article is to introduce the concept of so-called “Sponge Maps”, which distort the base maps independently of thematic attributes, but depending on the need to show or emphasize certain areas of interest. The second goal of the article is to answer the overall research question whether Sponge Maps actually reduce the area size bias and improve the detectability of maximum value regions. A user study was able to verify the effectiveness of the Sponge Map approach in particular. However, it also became clear that not only the area size bias plays a role in the detection of important regions—dependencies on the absolute position (top-down bias), compactness or conspicuous shape (shape bias), the familiarity (awareness bias), the color intensity (darkness bias) and not least by the distortions in the Sponge Maps as such (distortion bias) are shown. Furthermore, special aspects of detecting minimum value regions are revealed (including the so-called inverse area size bias).
      PubDate: 2023-01-11
       
  • Wann und wo treffen wir uns demnächst'

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      PubDate: 2023-01-09
       
  • 23

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      PubDate: 2022-12-17
       
  • Anamorphic Visualization of the Space-Time-Paradigm by Geodetic Network
           Adjustment

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      Abstract: Abstract The steadily increasing urbanization results in a continuous areal expansion of urban agglomerations and generates the need for effective intra- and inter-urban mobility. In fact, travel time plays the key role for daily commuters, not necessarily the distance between residence and work. Thus, the space-time-ratio is a quality measure for the respective traffic network. This study explores the spatio-temporal distance ratio between 97 German cities along the current road and railroad infrastructure by the help of geodetic network adjustment methods. The method bases on a highly dynamic network of 9312 connections and estimates new locations for the cities with respect to their geographic location and the required travel time. Cartographic design methods are applied to generate a non-central spatio-temporal cartogram. The resulting anamorphic map clearly denotes urban agglomerations with outstanding transport infrastructure, but also cities that are not adequately integrated in the national mobility network. This approach provides insight information with a high impact on future transport infrastructure planning.
      PubDate: 2022-12-10
       
  • Virtuality and Reality of Landscape: Theoretical and Methodological
           Problems in Their Capture and Representation

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      Abstract: Abstract The topic is approached both in a fundamental and an interdisciplinary way. Landscape ecology is the starting point. Landscape is both a construct of different disciplines, i.e., a “head birth”, as well as reality. Depending upon the way of thinking and the point of view of a discipline, this results in problems for the theoreticians of landscape ecology, the methodologists of landscape ecology and cartography, and for the practitioners (“technicians” or geomaticians) of cartography and visualization. The use of map representations and visualizations depends upon which “object landscape” is worked with in a cartographic project (or in a visualization process). This paper aims to offer guidance by weighting and systematizing terms.
      PubDate: 2022-10-19
      DOI: 10.1007/s42489-022-00123-5
       
  • Cultural Heritage with the Use of Low-Level Aerial Survey Techniques,
           Space Modelling and Multimedia Reconstruction of the Topographic Landscape
           (Example of a Windmill in Western Poland)

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      Abstract: Abstract Technological advancement of the last decades allowed one to develop the process of documentation and popularize the cultural heritage in the form of spatial objects and structures by means of reality modelling. The main goal of the article was to develop a methodology based on the compilation of activities in the field of acquisition (UAV), processing (Metashape and SkechUp), and publication (YouTube) of the data for the purpose of documentation and promotion of topographic cultural heritage objects recorded on nineteenth century maps (pre-industrial landscape). The research was carried out on a windmill located in Kamionka (Poland). It is located in the region of Wielkopolska (Witkowo borough), the cultural landscape of which, despite the progressive industrialization in the nineteenth century, has been shaped mainly by the agricultural land use. The most important results obtained at subsequent stages of the work were finally presented in the form of a short film. This type of presentation based on the use of multimedia is a comprehensive form of sharing research results. YouTube, as the leading medium for publishing audiovisual content, is one of the best places to share research results related to the promotion of cultural heritage.
      PubDate: 2022-10-01
      DOI: 10.1007/s42489-022-00122-6
       
  • Geospatial Big Data Platforms: A Comprehensive Review

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      Abstract: Abstract Over the past decade, big data incorporating a spatial component “GEOSPATIAL BIG DATA” has become a global focus, increasingly attracting the attention of academia, industry, government and other organizations. The possibility of managing and processing geospatial big data to help decision-making therefore appears to be an important scientific and societal issue. But it is difficult to store, manage, process, analyze, visualize and extract useful information from geospatial big data using traditional approaches on local machines. In this article, a survey of geospatial big data platforms was conducted. In this context, several studies of the literature have been evaluated in terms of the different technologies and the main platforms for processing geospatial big data. This article is intended to guide researchers working on geospatial big data applications.
      PubDate: 2022-09-16
      DOI: 10.1007/s42489-022-00121-7
       
  • „Tue Gutes und sprich darüber!“

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      PubDate: 2022-08-31
      DOI: 10.1007/s42489-022-00119-1
       
  • Editorial: Special Issue “VGI and Geovisualisation”

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      PubDate: 2022-08-25
      DOI: 10.1007/s42489-022-00118-2
       
  • Cartographic Representations of Coastal Land Loss in Louisiana: An
           Investigation Based on Deviant Cartographies

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      Abstract: Abstract The claim of topographic cartography to represent things of relevance and at the same time of certain permanent material persistence is challenged by the processes of coastal land loss in Louisiana. This example is used to discuss central points of critical cartography, such as a positivist worldview of cartography, its state-boundedness, and the construction of relevance. These aspects are taken (meta-functionally) as the occasion for reflection and further development of cartography in the sense of post-critical cartography sensitive to hybridities, complexities and contingencies. In doing so, we draw on reflections on deviant cartographies that foreground the consideration of whether changes in cartography have proven professionally or socially useful, suitable, and usable, without resorting to the notion of a comprehensive paradigm shift. The need is particularly evident in the case of land loss in Louisiana, where there is a constantly changing physical space that hardly allows for the construction of a clear dividing line between land and water areas, as is also evident from the analysis of historical and current maps that reflect topographies.
      PubDate: 2022-08-24
      DOI: 10.1007/s42489-022-00120-8
       
  • Flood Modeling and Simulation Using HEC-HMS/HEC-GeoHMS and GIS Tools for
           River Sindh-NW Himalayas

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      Abstract: Abstract The Sindh River is one of the most important water sources in Jammu and Kashmir, India. It is the chief Jhelum tributary flowing in the Kashmir Valley, with a significant impact to the country’s economy, production of hydroelectric power and irrigation for farming. This study aims to access the applicability, competence and aptness of Hydrologic modeling system (HEC-HMS) for forecasting flood in the River Sindh of Kashmir Valley, India. HEC-GeoHMS which is an extension ArcView GIS tool was used for processing digital elevation model (DEM) by terrain pre-processing, and basin processing. Historical observed data (1992–2018), collected from irrigation and flood control department Kashmir, was used for calibration and validation of model. Four peak flow years were selected for calibration (1995 and 1998) and validation (2014 and 2017). The competence of the model was assessed by relating the observed data with the simulation data of the chosen flood occasions. Performance indicator values, i.e., (Peak flow) Percentage error in Peak Flow (PEPF), Model Efficiency (ME), and correlation coefficient (R2)were all within the acceptable range. The efficiency of the calibrated and validated training model is 0.94–0.95, and 0.96–0.98, respectively, which is acceptable. Also, a strong relation was found between observed and simulated values of peak discharge with R2 ranging between 0.95–0.98 for calibration and validation periods. The overall result shows interest in applying a hydrological model for flood risk assessment of Sindh River, where the peak discharge simulation results are consistent with historical observation data.
      PubDate: 2022-08-20
      DOI: 10.1007/s42489-022-00116-4
       
  • Publisher Correction: Visualizing Point Density on Geometry Objects:
           Application in an Urban Area Using Social Media VGI

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      PubDate: 2022-08-08
      DOI: 10.1007/s42489-022-00117-3
       
  • Mercator's Geometric Method in the Construction of His Projection from
           1569

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      Abstract: Abstract The geometric method Mercator used to construct his projection from 1569 was reconstructed. Modern mathematical means are required for the computational creation of Mercator’s projection. It could be proven that Mercator worked out his projection exclusively with compass and linear. The methodological principles established by Ptolemy were used and further developed by Mercator. However, he did not describe his method and so an enigma of Mercator projection emerged.
      PubDate: 2022-07-18
      DOI: 10.1007/s42489-022-00115-5
       
  • Analyzing the EU Migration Crisis as Reflected on Twitter

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      Abstract: Abstract The proliferation of social media has resulted in its extensive use as a valuable source of information for researchers. This paper aims to use Twitter data to analyze and visualize tweets about the migration crisis in the European Union from 2016 to 2021. The paper uses a methodology to structure data for better understanding of complex social media data. The methods and metrics include the facet model of location based social media, the HyperLogLog data structure and novel uses of the metric typicality. The authors have also developed a web based interactive application closely following the methodology used to organize the dataset. Additionally the work also includes maps using spatial typicality which could be utilized for studying spatial phenomenon. The case study selected also provides unique insights and sets a template for working with multi-lingual geo-social media data. The authors believe that these methods and metrics could be reproduced for other case studies and aid in understanding and communication geo-social media data.
      PubDate: 2022-07-09
      DOI: 10.1007/s42489-022-00114-6
       
  • Visualizing Point Density on Geometry Objects: Application in an Urban
           Area Using Social Media VGI

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      Abstract: Abstract Point datasets that relate to highly populated places, such as ones retrieved from social media or volunteered geographic information in general, can often result in dense point clusters when presented on maps. Therefore, it can be useful to visualize the relevant point density information directly on the urban geometry to tackle the problem of point counting and density range identification in highly cluttered areas. One solution is to relate each point to the nearest geometry object. While this is a straightforward approach, its major drawback is that local point clusters could disappear by assigning them to larger objects, e.g., long roads. To address this issue, we introduce two new point density visualization approaches by which points are related to the underlying geometry objects. In this process, we use grid cells and heatmap contour lines to divide roads, squares, and pedestrian zones into subgeometry units. Comparison of our visualization approaches with conventional density visualization methods shows that our approaches provide a more comprehensive insight into the point distribution over space, i.e., over existing urban geometry.
      PubDate: 2022-06-28
      DOI: 10.1007/s42489-022-00113-7
       
  • Maps of the Ukraine War: An Unwanted, Important, and Difficult Subject
           Präsidentenkolumne

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      PubDate: 2022-06-20
      DOI: 10.1007/s42489-022-00109-3
       
  • Analysis of User Behaviour While Interpreting Spatial Patterns in Point
           Data Sets

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      Abstract: Abstract Volunteered geographic information is often generated as voluminous point data, leading to geometric and thematic clutter when presented on maps. To solve these clutter problems, cartography provides various point generalization operations such as aggregation, simplification or selection. While these operations reduce the total number of points and therefore improve the readability, information preservation could be harmed when specific spatial patterns disappear through the generalization process, possibly leading to false interpretations. However, sets of map generalization constraints that maintain spatial pattern characteristics of point data are still missing. To define constraints that support synoptic interpretation tasks, user behaviour while solving these tasks has to be analysed first. We conduct a study where participants have to perform such interpretation tasks, using a new method that combines think-aloud interviews and techniques from visual analytics. We reveal that the point density of a dataset has the biggest impact on the user behaviour and the respective task-solving strategy, independently from the actual task type executed. Furthermore, our results show that the graphical map complexity only has a minor impact on the user behaviour, and there is no evidence that point data cardinality influences task execution and the solution-finding strategies.
      PubDate: 2022-06-17
      DOI: 10.1007/s42489-022-00111-9
       
  • Karten mit (geo-)politischer Botschaft

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      PubDate: 2022-06-09
      DOI: 10.1007/s42489-022-00112-8
       
  • Visualizing the Off-Screen Evolution of Trajectories

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      Abstract: Abstract In the context of volunteered geographic information, large sets of trajectories of humans and animals are collected. Analyzing these trajectories visually is often complicated due to limited display sizes. For instance, when a user chooses a large map scale to inspect the details of a trajectory, only a small part of the trajectory is visible in the map. Therefore, in this article, we present an approach for visualizing the off-screen evolution of trajectories, i.e., their continuation outside of the displayed map. We propose visual cues in the form of glyphs that are displayed at the map’s boundary and that consist of one or multiple disk sectors of varying size and opening angle. These glyphs indicate the direction and variability of direction of a trajectory’s continuation outside the map frame. We present an algorithm for computing the glyphs efficiently and evaluate them in a user study. The results show that the glyphs are intuitive to understand even without explanation. We further present suggestions for improving the glyph design based on the results.
      PubDate: 2022-05-18
      DOI: 10.1007/s42489-022-00106-6
       
  • Uncertainties in Spatial Orientation: Critical Limits for Landmark
           Inaccuracies in Maps in the Context of Map Matching

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      Abstract: Abstract Map information, especially volunteered geographic information (VGI) is prone to spatial inaccuracies. Due to their use as spatial reference points, spatially inaccurate landmark representations in maps might affect the ability to match maps to the represented 3D space and might compromise self-localization and orientation. Based on a map matching task in a virtual 3D environment and various degrees of spatial landmark inaccuracies in a simultaneously presented 2D map, we aimed to identify acceptable and critical values of spatial inaccuracies. Furthermore, potential effects of inaccurate semantic spatial categories were evaluated. The findings demonstrate how metric and semantic spatial inaccuracies of landmark representations affect matching of maps to the represented 3D space. Map inaccuracies corresponding to more than 10 m within 3D space and swapped landmark pictograms in a map were associated with the perception of a mismatch between maps and 3D spaces. Furthermore, the distance of landmarks to the perceiver was found to affect map matching. Spatial inaccuracies of landmark pictograms were less likely to be associated with a perceived mismatch between maps and 3D spaces when the landmarks were further away, presumably because small or moderate inaccuracies were more difficult to perceive. To reduce the identified effects of landmark inaccuracies in maps on map-matching performance, we propose to identify means to quantify the uncertainty concerning spatial landmark inaccuracies and to visually communicate this uncertainty to map users.
      PubDate: 2022-04-19
      DOI: 10.1007/s42489-022-00105-7
       
 
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