Understanding Chorematic Diagrams: Towards a Taxonomy

Abstract

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Chorematic diagrams are prospective candidates for communicating highly generalised geographic information about a given region of interest. Chorematic diagrams were popularized in France as the graphical artefacts of a specific school of geographic thought established by Roger Brunet, with GIP-RECLUS as his institutional backing. Although many maps were created and a lively debate ensued, only few consolidated cartographic findings were generated and even less were made known to the international scientific community. This article presents a contextualizing review and proposes a cartographic taxonomy aimed at being a first step towards efforts for the automated generation of chorematic diagrams.     

土地利用景观格局核心指数提取:以中国广州市为例

景观格局是研究景观功能和动态的基础。景观指数分析在土地利用/土地覆盖、生态系统服务、森林监控、城市蔓生以及生物多样性等方面应用广泛。现有许多景观指数之间存在不同程度的相关性,不仅导致信息冗余,还将影响结果解译的清晰性和准确性。同时,已有研究主要针对栅格数据,针对矢量数据的景观指数分析研究较少。为解决上述问题,以广州市土地利用景观格局为例,在矢量数据格式下计算了44个常用的景观指数,并运用相关分析和因子分析相结合的多元统计分析法,提取了6个核心景观指数,这些指数描述了广州市土地利用景观格局的6个维度:景观破碎度、平均斑块面积、平均形状复杂度、空间分散度、形状复杂度差异和土地类型的相似性。     

Towards a New Approach for Absolute and Exterior Orientation

This paper briefly examines the current position in absolute and exterior orientation and highlights some of the limitations of existing techniques. An alternative system for performing absolute orientation and, potentially, exterior orientation is introduced. Some preliminary tests have given encouraging results.     

First Steps Towards a Model of Tactile Graphicacy

Abstract

This paper describes our initial steps towards developing a model of how blind people comprehend tactile graphics. In the first half of the paper we set out the aims of the model, and then consider other key issues such as the nature and scope of the model, the information it must incorporate and the outcomes it should provide. In the second half of the paper we present our ideas for the model itself, outlining the four facets that make it up — perceptual processing, cognitive skills, knowledge and cognitive development. Throughout the paper we raise questions for open debate and invite feedback on our ideas.     

The Integration of Scene Understanding within a Geographic Information System: A Prototype Approach for Agricultural Applications

This paper describes progress towards engineering a combined GIS and image understanding system, designed to analyse remotely-sensed imagery in a task-oriented manner, with the task and contextual parameters being supplied by the GIS. The overall aim is to evaluate some of the more recent developments in the field of computer vision and to show how they may be integrated (along with more traditional methods of image interpretation) to improve system performance in terms of object recognition and extraction. Three aspects are reported: (1) Development of a formal notation as the basis of describing the process of transforming data from low level image representations to high level object representations; (2) Design of collaborating low and high level image processes used in this abstraction process and their control via Process Networks encapsulated into frames ; and (3) Use of Dempster-Shafer Decision Theory as the basis for combining different types of evidence to improve the recognition of objects in the scene. Some sample results are presented to illustrate the issues raised and mechanisms for the co-operative processing of data are suggested.     

Towards a Deeper Understanding of Cartographic Text Visualisation: Assessment of User Preferences and Colour Influence

The main goal of this research is to investigate the influence of a map’s background colour on user preferences regarding labels’ typography, including their size, shape, orientation and texture. Four sets of backgrounds were tested: blank maps, grey scale, hot colours and cold colours. The foreground of these maps is populated with name labels, which are associated with point objects or areal objects. Bertin’s visual variables were applied to this set of name labels, both separately and in combination. User preferences of different typographic variations were registered and compared on the basis of different background colours using a one-way ANOVA. The results indicated that the typographic design of the map labels should not be adapted according to the map’s background colour.     

城镇扩张遥感动态监测的方法研究

利用遥感技术动态监测城镇扩展己成为一个重要的研究领域和应用方向。本论文基于多源多时相遥感影像和地形数据,以福建漳州市区为示范区,探讨城镇建筑用地扩张遥感动态监测的方法。作者认为基于ASTER影像,综合利用非监督分类、多时相植被指数、城镇建筑用地的地形分布等知识建立分类决策规则,可以有效提取城镇建筑用地信息,准确度不低于90%。同时提出利用城镇建筑用地时空分布知识、多时相植被指数知识,改进TM三指数城镇建筑用地提取方法的思路,最终提取的城镇建筑用地信息满足城镇建筑用地动态变化分析的精度要求。     

Towards an Integrated Model of Interoperability for Spatial Data Infrastructures

Although there is a vast literature available on interoperability models, and their respective interoperability levels, limited research has been carried out on the development of interoperability models for the implementation of Spatial Data Infrastructures. This article demonstrates the important role of metadata elements in the formalisation of interoperability models for the implementation of Spatial Data Infrastructures. It describes an approach for designing an integrated interoperability model based on the definition of a common template that integrates seven interoperability levels. They are: technical, syntactic, semantic, pragmatic, dynamic, conceptual and organisational levels. A non-hierarchical structure is proposed to ensure the relationship among these interoperability levels.     

Preservation of Spatial Information in Rasterization Processes: A Practical Approach Using Real Categorical Data and Landscape Metrics

Rasterization (i.e., vector-to-raster conversion) is a common process in geographic information systems. As it implies redistribution of map information, it is important to know how much data are lost when a particular resolution is chosen, in order to use data successfully. This study explores the potential of landscape metrics to reflect sensitivity to rasterization processes. A vectorial land use map was rasterized to an array of cell sizes. Deviation from original data was estimated, and landscape metrics were calculated for each land cover class. Results allowed grouping of classes—with respect to how information was preserved—depending on their landscape characteristics.     

Towards Better WMS Maps Through the Use of the Styled Layer Descriptor and Cartographic Conflict Resolution for Linear Features

Abstract

Mercator depicted Croatia on several general maps. In accordance with the level of geographical knowledge, map scales and technical possibilities of the time, Mercator provided a relatively detailed depiction of basic geographical features on these maps. His interest in mapping Croatia was probably motivated by the fact that the Venetian Republic, the Habsburg Monarchy and the Ottoman Empire had fought over this area in the sixteenth century, contributing to the fragmentation of the medieval Croatian State, while at the same time facilitating economic, religious, linguistic, artistic and scientific communication between Central, South East and Mediterranean Europe. Mercator paid special attention to toponyms that enabled geographical objects to be identified and the decoding of cartographic contents. Research into Mercator’s maps has shown that geographical names, among other things, clearly indicate the sources of spatial data that he used. Additionally, geographical names on Mercator’s maps are significant indicators of the linguistic and cultural contacts that were particularly prominent in border areas, for example, along the eastern Adriatic coast, or the courses of the Danube, Sava and Drava.     

指标驱动下以任务流为中心的在线交互制图模型

在线制图是一个复杂的交互过程,任务流是交互制图系统的一种新理念和新方法。分析不同的地图制图模型,根据统计数据和专题地图可视化的特点,提出统计指标驱动下以任务流为中心的在线地图制图模型,并给出网络地图符号XML定义描述,结合某市在线动态专题地图可视化的应用实例,研究基于该模型的统计数据Web空间可视化的各种方法和应用,表明该可视化体系和功能流程模式具有很好的推广价值。     

基于特征的时空数据模型研究及在土地利用变化动态监测中的应用

介绍基于特征的时空数据模型的研究及在土地利用动态监测中的应用.在超图理论基础之上对基于特征的时空数据模型和数据结构的理论进行新探索.同时,以基于特征的时空数据模型为基础,探讨特征选取和时空赋值,设计基于特征的时空数据库,并在土地利用动态监测中建立原形系统,该应用实例证明本研究在理论和方法上的可行性.     

地景模型的简化与快速绘制方法研究

在分析地景模型数据特点的基础上，提出了地景模型简化的判决准则，并根据该则提出了基于视点的区域数据抽取与简化方法以及基于法矢量的细节模型简化方法。实验结果表明，使用该方法数据压缩量大，绘制速度快，且逼真度无明显变化。     

一种基于视觉特征的地形模型数据提取与快速显示方法

DEM模型是一种重要的地形模型，由于其数据量极其巨大，如何实现快速显示是一个难题。针对DEM地形模型，提出基于视点与观察分辨率的数据抽取及基于法矢量的模型简化的快速绘制方法算法，最后进行实验验证。结果表明，该方法数据压缩量大，绘制速度快，且逼真度无明显变化。     

地形TIN模型的实时连续LOD算法设计与实现

为了实现基于不规则三角网(TIN)地形模型的动态细节简化模型,文中介绍了一种有效的方法,即在一种新的三角网数据结构基础上,通过重复执行模型中边的“折叠”(即顶点“合并”)操作,预先计算模型中每个顶点“重要性”值,根据“重要性”对模型的三角形和顶点列表进行重新排序并将结果存储在数据结构中。在显示过程中,根据对地形的精度要求和事先存储的结果自适应地快速获取所要显示的顶点和三角形,实现TIN模型的买时动态构网显示。基于该算法,在两个不同细节的TIN模型进行过渡时可以进行快速线性插值,实现了不同细节模型间的连续过渡。     

Towards intelligent geospatial data discovery: a machine learning framework for search ranking

Current search engines in most geospatial data portals tend to induce users to focus on one single-data characteristic dimension (e.g. popularity and release date). This approach largely fails to take account of users’ multidimensional preferences for geospatial data, and hence may likely result in a less than optimal user experience in discovering the most applicable dataset. This study reports a machine learning framework to address the ranking challenge, the fundamental obstacle in geospatial data discovery, by (1) identifying a number of ranking features of geospatial data to represent users’ multidimensional preferences by considering semantics, user behavior, spatial similarity, and static dataset metadata attributes; (2) applying a machine learning method to automatically learn a ranking function; and (3) proposing a system architecture to combine existing search-oriented open source software, semantic knowledge base, ranking feature extraction, and machine learning algorithm. Results show that the machine learning approach outperforms other methods, in terms of both precision at K and normalized discounted cumulative gain. As an early attempt of utilizing machine learning to improve the search ranking in the geospatial domain, we expect this work to set an example for further research and open the door towards intelligent geospatial data discovery.     

地形TIN模型的实时连续LOD算法设计与实现

为了实现基于不规则三角网(TIN)地形模型的动态细节简化模型,文中介绍了一种有效的方法,即在一种新的三角网数据结构基础上,通过重复执行模型中边的"折叠"(即顶点"合并")操作,预先计算模型中每个顶点"重要性"值,根据"重要性"对模型的三角形和顶点列表进行重新排序并将结果存储在数据结构中.在显示过程中,根据对地形的精度要求和事先存储的结果自适应地快速获取所要显示的顶点和三角形,实现TIN模型的实时动态构网显示.基于该算法,在两个不同细节的TIN模型进行过渡时可以进行快速线性插值,实现了不同细节模型间的连续过渡.     

地形RSG模型的动态构网算法

论述了一种基于规则格网地形模型的动态构网算法。通过定义模型中顶点间的约束关系以及顶点误差的继承方法，利用四叉树构建出顶点的层次结构，有效解决了不同分辨率网络间接边的裂缝问题，实现在模型误差控制下的多分辨网络的实时正确构网。实验证明，该方法对于实时控制地形模型的细节层次，增强地形模型的绘制效率是非常有效的。     

The limits of GIS: Towards a GIS of place

In this article we reflect back on our decade‐long collaboration on the geographies of the Holocaust to argue for a GIS of place. Our previous work on ghettoization in Budapest and on the spatio‐temporal patterns of Jewish persecution in Italy had a marked spatial dimension, both in the research questions we set out to answer and the methods we used, which were largely quantitative. During the course of our research, we progressively came to realize that a spatial perspective favors the voice of the perpetrator and that to fully comprehend and understand the geography of the Holocaust, we needed to engage with the voice of the victim, extend the set of methods and tools used, and broaden our epistemology. While proposing a fully‐fledged model of a qualitative GIS of the places and spaces of the Holocaust is beyond the scope of this article, we: (a) argue for the integration of social network analysis, corpus linguistics, and spatio‐temporal methods and for a mixed‐methods analytical approach and (b) note how the topological and relational foundations we identify as fundamental to a GIS of place parallel the long‐standing call for an “integrated history” of the Holocaust.