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Caitlin Haedrich Vaclav Petras Anna Petrasova Stefan Blumentrath Helena Mitasova 《Transactions in GIS》2023,27(3):686-702
Open education materials are critical for the advancement of open science and the development of open-source software. These accessible and transparent materials provide an important pathway for sharing both standard geospatial analysis workflows and advanced research methods. Computational notebooks allow users to share live code with in-line visualizations and narrative text, making them a powerful interactive teaching tool for geospatial analytics. Specifically, Jupyter Notebooks are quickly becoming a standard format in open education. In this article, we introduce a new GRASS GIS package, grass.jupyter , that enhances the existing GRASS Python API to allow Jupyter Notebook users to easily manage and visualize GRASS data including spatiotemporal datasets. While there are many Python-based geospatial libraries available for use in Jupyter Notebooks, GRASS GIS has extensive geospatial functionality including support for multi-temporal analysis and dynamic simulations, making it a powerful teaching tool for advanced geospatial analytics. We discuss the development of grass.jupyter and demonstrate how the package facilitates teaching open-source geospatial modeling with a collection of Jupyter Notebooks designed for a graduate-level geospatial modeling course. The open education notebooks feature spatiotemporal data visualizations, hydrologic modeling, and spread simulations such as the spread of invasive species and urban growth. 相似文献
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GIS软件开源可有效促进GIS软件技术的发展,这也是GIS技术发展的趋势之一。目前,国内还没有跨平台的专业桌面GIS开源软件。本文研究并实现了跨平台的开源桌面GIS软件-SuperMap iDesktop Cross,采用C++语言实现了GIS功能内核,同时基于OSGi框架,采用Java语言实现了用户界面开发。该软件具备数据管理、数据处理、三维可视化、空间分析等GIS功能,同时提供应用程序编程接口（API）,支持定制开发。这将使专业桌面GIS软件广泛应用于包括Linux在内的更广泛的操作系统,使更多的人参与到GIS软件技术的发展中来,共同推动国产GIS软件技术的发展。 相似文献
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NASA World Wind JavaSDK数字地球客户端开发 总被引：2，自引：0，他引：2
NASA World Wind是美国航空航天管理局(NASA)推出的一个开放源代码的地理软件,一个3D的可视化虚拟地球仪,也是最流行的数字地球平台,因为数据和使用都完全免费,所以值得对其应用进行研究。WorldWind JavaSDK是NASA提供的一个开源的开发软件包,本文对World Wind Java SDK的包和类、如何创建WorldWind JAVA应用、架构、API以及功能结构等做了详细的说明。在此基础上,介绍并展示以Applet和Java WebStart两种部署方式,完全利用World Wind的数据,开发自己的GIS平台,实现对其数据的充分利用。 相似文献
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Smart card-automated fare collection systems now routinely record large volumes of data comprising the origins and destinations of travelers. Processing and analyzing these data open new opportunities in urban modeling and travel behavior research. This study seeks to develop an accurate framework for the study of urban mobility from smart card data by developing a heuristic primary location model to identify the home and work locations. The model uses journey counts as an indicator of usage regularity, visit-frequency to identify activity locations for regular commuters, and stay-time for the classification of work and home locations and activities. London is taken as a case study, and the model results were validated against survey data from the London Travel Demand Survey and volunteer survey. Results demonstrate that the proposed model is able to detect meaningful home and work places with high precision. This study offers a new and cost-effective approach to travel behavior and demand research. 相似文献
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地震目录是地震行业产出的最为基础的地震科学研究资料,为了进一步挖掘地震数据信息,让地震目录数据的空间、时间信息更好地被利用,本文根据地震目录数据的特点,设计了一套前后端分离,采用高德地图开放平台API、Echarts、Plotly、JpGrid开源框架的地震目录综合展示系统,系统以B/S架构展示了地震目录的原始数据及由地震目录加工生成的震中位置、三维可视化、动态M-T图、动态频次图,为科研人员及公众提供了一个地震目录数据的查询、浏览平台,为地震数据服务社会提供了一种新模式。 相似文献
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Regional scale urban built-up areas and surface urban heat islands (SUHI) are important for urban planning and policy formation. Owing to coarse spatial resolution (1000 m), it is difficult to use Moderate Resolution Imaging Spectroradiometer (MODIS) Land surface temperature (LST) products for mapping urban areas and visualization, and SUHI-related studies. To overcome this problem, the present study downscaled MODIS (1000 m resolution)-derived LST to 250 m resolution to map and visualize the urban areas and identify the basic components of SUHI over 12 districts of Punjab, India. The results are compared through visual interpretation and statistical procedure based on similarity analysis. The increased entropy value in the downscaled LST signifies higher information content. The temperature variation within the built-up and its environs is due to difference in land use and is depicted better in the downscaled LST. The SUHI intensity analysis of four cities (Ludhiana, Patiala, Moga and Vatinda) indicates that mean temperature in urban built-up core is higher (38.87 °C) as compared to suburban (35.85 °C) and rural (32.41 °C) areas. The downscaling techniques demonstrated in this paper enhance the usage of open-source wide swath MODIS LST for continuous monitoring of SUHI and urban area mapping, visualisation and analysis at regional scale. Such initiatives are useful for the scientific community and the decision-makers. 相似文献
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The aim of this research is evaluation of land suitability for urban land‐use planning. Four factors and fourteen criteria were selected for suitability analysis and land‐use planning. Factors and criteria were defined based on literature survey, experts’ opinions, local contexts and availability of data. GIS‐based Analytical Hierarchy Process (AHP) was used as a Multi‐criteria Decision Making model. The study was conducted on a selected area of Dhaka city, which is one of the fastest growing mega‐cities of the world. The research result shows that highly suitable area (13%) should be used for urban residential zone; moderately suitable area (35%) should be designated as mixed use zone; low suitable area (42%) should be reserved for agricultural use and open spaces; and not suitable area (10%) should be protected from any types of activities except agriculture. The research approached an urban land‐use planning at a regional scale. 相似文献
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Lun Wu Ximeng Cheng Chaogui Kang Di Zhu Zhou Huang 《International Journal of Digital Earth》2020,13(6):708-726
ABSTRACTMixed use has been extensively applied as an urban planning principle and hinders the study of single urban functions. To address this problem, it is worth decomposing the mixed use. Inspired by the concept of spectral unmixing in remote sensing applications, this paper proposes a framework for mixed-use decomposition based on big geo-data. Mixed-use decomposition in terms of human activities differs from traditional land use research, and it is more reasonable to infer the actual urban function of land. The framework consists of four steps, namely temporal activity signature extraction, urban function base curve extraction, mixed-use decomposition, and result validation. First, the temporal activity signatures (TASs) of each zone are extracted as the proxy of human activity patterns. Second, the diurnal TASs of routine activities are extracted as urban function base curves (i.e. endmembers). Third, a linear decomposition model is used to decompose the mixed use and obtain multiple results (urban function composition, dynamic activity proportions, and the mixing index). Finally, result validation strategies are concluded. This framework offers method extensibility and has few requirements for the input data. It is validated by means of a case study of Beijing, based on a social media check-in dataset. 相似文献
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Simon Moncrieff Geoff West James Cosford Narelle Mullan Andrew Jardine 《International Journal of Digital Earth》2014,7(4):294-315
In this paper, we detail the design and the implementation of an open source, server-side web mapping framework for the analysis of health data. The framework forms part of a larger project, the goal of which is to provide an analytical web geographical information system (GIS) that enables health experts to analyse spatial aspects of health data. The aim of the framework is to provide a method for the dynamic and flexible spatial visualisation of health data to facilitate data exploration and analysis. Consequently, a dynamic thematic web mapping technique, an extension to the Open Geospatial Consortium (OGC) web map service standard, was developed. The technique combines a data query, processing technique and styling methodology on the fly to generate a thematic map. The resulting thematic map represents a virtual map layer that enables a user to rapidly visually summarise properties of a data-set. A test web interface was developed to assess the efficacy of the web mapping technique. As the dynamic web mapping method builds on existing OGC web mapping standards, it can be readily integrated with the existing lightweight slippy map web clients and virtual globes. 相似文献
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Yongyao Jiang Yun Li Fei Hu Edward M. Armstrong Thomas Huang 《International Journal of Digital Earth》2018,11(9):956-971
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. 相似文献
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Yulun Zhou 《制图学和地理信息科学》2016,43(5):379-392
ABSTRACTIn the past decade, an explosion of data has taken place in Chinese cities due to widespread use of mobile Internet devices, Web 2.0 applications, and the development of the “Wired City.” With advances in data storage and high-performance computing, big/open urban data have opened up important avenues for urban studies, planning practice, and commercial consultancy. Urban researchers and planners are eager to make use of these abundant, sophisticated, and dynamic data to deepen their understanding on urban form and functions. However, in practice, access to such urban data is limited in China due to institutional constraints on data distribution and data holders’ hesitation to share data. And this hampers urban analytics. To draw reliable conclusions about the workings of complex urban systems, efficient and effective interoperation of multisource urban datasets is needed. Also, dealing with the heterogeneity between datasets is an equally critical challenge, especially for urban planners and government officers. They would derive value from data analytics, but have little data processing experience. To address these issues, we initiated SinoGrids (Plan Xu Xiake), a crowdsourcing platform that standardizes (or “downscales”) microscale urban data in China to facilitate its sharing and interoperation. To assess the performance evaluation of SinoGrids, we propose field-testing with actual urban data and their potential users. Digital desert, a son project of SinoGrids is also included. 相似文献
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中国的国民经济和社会发展规划、土地利用总体规划以及城乡规划都是法定规划,但由于规划主体、技术标准和编制办法、实施手段和监督机制等的不同,导致"三规分离"、各个规划之间相互冲突的问题较为突出。虽然国家为了消除冲突,正在开展"三规合一"的有关工作,但缺乏有关技术手段的支持。本文以地理信息科学为出发点,对地理过程建模在国内外研究中的应用进行了总结,阐述了地理模拟与优化的框架体系可以成为目前中国正在进行的"三规合一"工作的重要理论和方法支撑。 相似文献
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ABSTRACT The foundation of modern Digital Earth frameworks is the Discrete Global Grid System (DGGS). To standardize the DGGS model, the Open Geospatial Consortium (OGC) recently created the DGGS Abstract Specification, which also aims to increase usability and interoperability between DGGSs. To support these demands and aid future research, open implementations are necessary. However, several OGC conformant DGGSs are not available for researchers to use. This has motivated us to develop an open-source web service that allows users to create quadrilateral grids based on the rHEALPix DGGS. In this paper, we describe the implementation of the web service, including issues and limitations, and demonstrate how discrete global grids and regional grids can be created. Lastly, we present examples that show how vector data sets can be modeled and integrated at different levels of resolution – a key benefit of the DGGS model. 相似文献
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地理模拟优化系统(GeoSOS)及其在地理国情分析中的应用 总被引：1，自引：0，他引：1
第一次全国地理国情普查工作已基本完成,需要对所获取的地理国情监测数据进行空间统计分析,以得到地理国情的时空分布模式、演变规律及发展趋势,形成地理国情信息和知识。地理国情监测生成的基础数据源,可用于土地资源集约利用、城乡及城市群协调发展、生态环境保护等问题的空间智能决策分析,但目前有效的模拟分析工具还比较缺乏。笔者提出的地理模拟优化系统(GeoSOS)理论框架,耦合了地理过程模拟预测和空间优化,为上述研究提供了有利的理论支持和实用工具。为进一步方便与GIS进行无缝的链接,本文提出了基于ArcGIS插件的GeoSOS以方便进行高效的地理模拟分析。并以快速城市化地区的城市扩张与生态保护研究为例,通过在地理国情信息分析中的应用,得到了一些重要的发现。模拟结果显示,按照现在的发展趋势,广东省优化开发区域在2020年其土地开发强度将超出规定的约束指标,并发现各区域均存在大量城乡建设用地占用生态保护压力等级高和较高地块的现象,而基于土地开发强度和生态保护双重约束的城镇化扩张能够在满足约束指标的同时获得更紧凑的景观格局。表明GeoSOS及其ArcGIS插件可以成为地理国情信息分析的有利工具,并给出了今后需解决的问题和发展方向。 相似文献
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Integrating Spatial Data Linkage and Analysis Services in a Geoportal for China Urban Research 
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下载免费PDF全文 Many geoportals are now evolving into online analytical environments, where large amounts of data and various analysis methods are integrated. These spatiotemporal data are often distributed in different databases and exist in heterogeneous forms, even when they refer to the same geospatial entities. Besides, existing open standards lack sufficient expression of the attribute semantics. Client applications or other services thus have to deal with unrelated preprocessing tasks, such as data transformation and attribute annotation, leading to potential inconsistencies. Furthermore, to build informative interfaces that guide users to quickly understand the analysis methods, an analysis service needs to explicitly model the method parameters, which are often interrelated and have rich auxiliary information. This work presents the design of the spatial data linkage and analysis services in a geoportal for China urban research. The spatial data linkage service aggregates multisource heterogeneous data into linked layers with flexible attribute mapping, providing client applications and services with a unified access as if querying a big table. The spatial analysis service incorporates parameter hierarchy and grouping by extending the standard WPS service, and data‐dependent validation in computation components. This platform can help researchers efficiently explore and analyze spatiotemporal data online. 相似文献
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Wen Lin 《Transactions in GIS》2008,12(4):493-514
Government agencies have been an important actor in using GIS and other information technologies across the world. However, contextual examinations of government GIS practices over time within non-Western contexts remain sparse in the existing GIScience literature. In particular, little is known with respect to China's significant growth of using GIS in its urban government amidst its rapid urbanization and enormous transformation. This article presents an in-depth investigation of the case of Shenzhen city, one of the China's leading cities in urban government GIS development. Drawing upon critical GIS research and GIS implementation studies, a synthesized theoretical framework is developed to interrogate the nature and evolutionary process of Shenzhen's government GIS practices. The analysis is focused on examining the role of broader social conditions, local contextual factors and organizational characteristics in shaping GIS development in Shenzhen's urban governance. Situated in this contextual analysis, this article also illustrates the three major transformations of GIS development in Shenzhen's planning agency over the past decade. The findings show that GIS development in Chinese urban governance has been influenced not only by the instrumental functions of GIS, but also by the interactions and relationships among different actors and institutions with various vested interests in the process of structuring and governing the urban spaces. This study will contribute to the ongoing discussion of understanding the interwoven relationship between GIS and society in GIScience research. 相似文献
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《制图学和地理信息科学》2013,40(3):151-166
We present new methods for analyzing geo-referenced statistical data. These methods combine visualization and direct manipulation techniques of exploratory data analysis and algorithms for data mining. The methods have been implemented by integrating two hitherto separate software tools: Descartes for interactive thematic mapping, and the data mining toolbox Kepler. In using these tools, data analysis may proceed as a steady interaction between visual inspiration and insights gained from mathematical–statistical calculations. After introducing the various components of the methods and tools, the paper guides the reader through in-depth examples of using the tools in the context of analysis of urban demographic data. In particular, it is shown how geography-based classifications of urban districts can be related to available thematic characteristics by applying the data mining algorithms classification tree derivation, attribute weighting, and subgroup discovery. 相似文献