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This paper focuses on the methods and process of spatial aggregation based on semantic and geometric characteristics of spatial objects and relations among the objects with the help of spatial data structure (Formal Data Structure), the Local Constrained Delaunay Triangulations and semantic hierarchy. The adjacent relation among connected objects and unconnected objects has been studied through constrained triangle as elementary processing unit in aggregation operation. The hierarchical semantic analytical matrix is given for analyzing the similarity between objects types and between objects. Several different cases of aggregation have been presented in this paper. 相似文献
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Kraak Menno-Jan 《制图学和地理信息科学》2013,40(1):53-54
This paper presents a method of combining text and icon label placement in a real-time computing environment. The method computes label configurations based on placement properties, cartographic disturbance, and label overlap. The process is divided into four phases. In the first phase, candidate positions of the text labels are chosen. In the second phase, the same is done for the icon labels. The choice of candidate positions is based on cartographic preference and cartographic disturbance. The removal of overlap between labels is solved, in the third phase, by means of a combinatorial optimization technique (simulated annealing). When there are label pairs in conflict that could not be resolved, the fourth and final step is executed to remove one label in the pair. The success of the proposed method lies in the ability to effectively reduce the search space for the combinatorial optimization. A number of strategies for reducing search space have been evaluated in a case study. The results show that a good search-space-reduction strategy will lead to acceptable solutions for text and icon labeling within a limited processing time. 相似文献
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Menno-Jan Kraak Jean-Claude Müller Ferjan Ormeling 《International journal of geographical information science》2013,27(6):637-645
Abstract This paper describes a new joint Dutch research initiative ‘GIS-cartography’, combining the research efforts of the cartographers of Utrecht University, Delft University of Technology and the International Institute for Aerospace Survey and Earth Sciences (ITC) in Enschede. The research initiative focuses on the quantification and visualization of data quality, which will be placed in the context of providing automated visual decision support in specific map use strategies. As these map use strategies can only be performed if the relevant cartographic images can be created, studies of both physical access to the data, user interfaces and the provision of sufficient support to allow the user to understand and to derive sensible conclusions from the data are included in the project. Before modules automatically visualizing data quality can be implemented, data documentation, standardization and integration have to be effected, therefore these issues are also covered. 相似文献
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Xiaojing Wu Raul Zurita-Milla Menno-Jan Kraak 《International journal of geographical information science》2013,27(4):624-642
Clustering allows considering groups of similar data elements at a higher level of abstraction. This facilitates the extraction of patterns and useful information from large amounts of spatio-temporal data. Till now, most studies have focused on the extraction of patterns from a spatial or a temporal aspect. Here we use the Bregman block average co-clustering algorithm with I-divergence (BBAC_I) to enable the simultaneous analysis of spatial and temporal patterns in geo-referenced time series (time evolving values of a property observed at fixed geographical locations). In addition, we present three geovisualization techniques to fully explore the co-clustering results: heatmaps offer a straightforward overview of the results; small multiples display the spatial and temporal patterns in geographic maps; ringmaps illustrate the temporal patterns associated to cyclic timestamps. To illustrate this study, we used Dutch daily average temperature data collected at 28 weather stations from 1992 to 2011. The co-clustering algorithm was applied hierarchically to understand the spatio-temporal patterns found in the data at the yearly, monthly and daily resolutions. Results pointed out that there is a transition in temperature patterns from northeast to southwest and from ‘cold’ to ‘hot’ years/months/days with only 3 years belonging to ‘cool’ or ‘cold’ years. Because of its characteristics, this newly introduced algorithm can concurrently analyse spatial and temporal patterns by identifying location-timestamp co-clusters that contain values that are similar along both the spatial and the temporal dimensions. 相似文献
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Xiang Zhang Jantien Stoter Tinghua Ai Menno-Jan Kraak Martien Molenaar 《International journal of geographical information science》2013,27(8):1550-1571
Evaluation is a key step to examine the quality of generalized maps with respect to map requirements. Map generalization facilitates the recognition of pattern generating processes by preserving and highlighting the patterns at smaller scales. This article focuses specifically on the evaluation of building patterns in topographic maps that are generalized from large to mid scales. Currently, there is a lack of knowledge and functionality on automatically evaluating how these patterns are generalized. The issues of the evaluation range from missing formal map requirements on building alignments to missing automated evaluation techniques. This article firstly analyses the requirements (constraints) related to the generalization of building alignments. Then, it focuses on three more specific constraints, i.e. on existence, orientation of alignments and spatial distribution of composing buildings. Later, a three-step approach is proposed to (1) recognize and (2) match alignments from source and generalized datasets and (3) evaluate building alignments in generalized datasets. Besides, many-to-many and partial matching between initial and target alignments is a side effect of generalization, which reduces the reliability of the evaluation results. This article introduces a confidence indicator to document the reliability and to inform intended users (e.g. cartographers) and/or systems about the reliability of evaluation decisions. The effectiveness of our approach is demonstrated by evaluating the alignments in both interactively (manually) generalized maps and automated generalized maps. Finally, we discuss how our approach can be used to control automated generalization and identify further improvements. 相似文献
16.
This paper focuses on the methods and process of spatial aggregation based on semantic and geometric characteristics of spatial objects and relations among the objects with the help of spatial data structure (Formal Data Structure),the Local Constrained Delaunay Triangulations and semantic hierarchy.The adjacent relation among connected objects and unconnected objects has been studied through constrained triangle as elementary processing unit in aggregation operation.The hierarchical semantic analytical matrix is given for analyzing the similarity between objects types and between objects.Several different cases of aggregation have been presented in this paper. 相似文献
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This article presents an overview of a research project focusing on improving the usability of pedestrian navigation systems by following a User-Centered Design (UCD) approach. One of the main problems with those systems is how to adequately support and enhance the spatial interactions of a traveler to new urban areas, which is crucial for successful self-orienting and wayfinding. The methodology employed allows for conceptualizing, implementing and evaluating research prototypes that aim to satisfy the special user requirements. Outlined in this article are the techniques designed and integrated in the developed prototype, the methods used for their evaluation through field-based studies and the challenges encountered during this process. New techniques with a measurable impact on the effectiveness, efficiency and satisfaction of navigation were tested and found to dramatically enhance the sense of personal geo-identification in new places. Examples of those techniques are landmark visibility indication, multi-path routing based on time availability, multi-perspective landmark photos and reverse overview + detail maps. Overall, the outcomes of this research verify the capacity of UCD to help overcoming current usability issues with pedestrian navigation systems. By demonstrating an effective UCD methodology and discussing the lessons learned, we intend to aid the development of next generation navigation appliances. 相似文献
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Topographic mapping: covering the wider field of geospatial information science & technology (GIS&T)
Menno‐Jan Kraak 《International journal of geographical information science》2013,27(2):327-328
This article presents a multidisciplinary study implemented in Geographic Information System (GIS) environment to investigate the palaeo-hydrography in a sector of the Magra River alluvial plain (north-western Italy) where the famous ruins of the Roman colony of Luna (now Luni) are located. The approach proposed here combines the results obtained by different remote sensing images (satellite and airborne photos) with the data derived from historical cartography and recent field surveys. The traces are mapped and organised in two vector databases organised in linear or polygonal features consistent with fluvial elements (e.g. palaeo-channels, abandoned streams, etc.) and marshy/swamp areas, respectively. This database represents a useful starting point that can be implemented by further more detailed studies aimed to better understand the evolution of the landscape and the possible relationship with the story of the archaeological site of Luna about which many questions are still unresolved. 相似文献
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Arko Lucieer Menno-Jan Kraak 《International journal of geographical information science》2013,27(5):491-512
In this study, we propose, describe, and demonstrate a new geovisualization tool to demonstrate the use of exploratory and interactive visualization techniques for a visual fuzzy classification of remotely sensed imagery. The proposed tool uses dynamically linked views, consisting of an image display, a parallel coordinate plot, a 3D feature space plot, and a classified map with an uncertainty map. It allows a geoscientist to interact with the parameters of a fuzzy classification algorithm by visually adjusting fuzzy membership functions and fuzzy transition zones of land-cover classes. The purpose of this tool is to improve insight into fuzzy classification of remotely sensed imagery and related uncertainty. We tested our tool with a visual fuzzy land-cover classification of a Landsat 7 ETM+ image of an area in southern France characterized by objects with indeterminate boundaries. Good results were obtained with the visual classifier. Additionally, a focus-group user test of the tool showed that insight into a fuzzy classification algorithm and classification uncertainty improved considerably. 相似文献