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Impact of neighborhood features on housing resale prices in Zhuhai (China) based on an (M)GWR model

Big Earth Data 2023年第1期7卷 146-169页

作者： Nianhua Liu josef strobl Interfaculty Department of Geoinformatics-Z_GIS University of SalzburgSalzburgAustria Department of Geoinformatics PalackýUniversity OlomoucOlomoucCzech Republic

The paper aims at exploring the relationship between housing resale prices and neighborhood features in Zhuhai,as well as structure and location *** neighborhood features are collected to analyze their influence on average community-level apartment resale prices in *** neighbor-hood features,structural and location characteristics,are selected according to their statistical significance and multi-collinearity test results from an OLS *** analysis is performed by OLS,GWR,and MGWR to compare their per-formance in housing price research at community *** comparison of the three models also demonstrates that the GWR(66%)and MGWR(68%)models perform much better than OLS model(52%).MGWR is not significantly different from GWR in areas with few sample points,and the optimal bandwidth at different spatial scales is hard to be captured in a city-level study *** regression parameter indicates that building age is the most important factor among all influen-cing *** to schools and factories have positive and negative significant effects on housing resale prices,*** spatial pattern of neighborhood features is also detected at town *** and MGWR models accurately demonstrate local spatial heterogeneity of the housing resale market,which provides better results than the traditional OLS model in the goodness of fit and parameter estimates when spatial dependency is *** results provide references for local planning departments,helping to reveal the compli-cated relationship and spatial patterns between housing price and determinants over space.

关键词： Housing resale price neighborhood features ordinary least squares multiscale geographically weighted regression

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Spatial Structure Characteristics Detecting of Landform based on Improved 3D Lacunarity Model

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Chinese Geographical Science 2012年第1期22卷 88-96页

作者： TAO Yang TANG Guo'an josef strobl Key Laboratory of Virtual Geographic Environment Ministry of EducationNanjing Normal UniversityNanjing 210046China Department of Geography and Geology&Z_GIS-Centre for Geoinformatics University of SalzburgSalzburg 5020Austria Geomatics Center of Jiangsu Province Nanjing 210013China Austrian Academy of Sciences Salzburg 5020Austria

The spatial structure characteristics of landform are the foundation of geomorphologic classification and *** paper proposed a new method on quantifying spatial structure characteristics of terrain surface based on improved 3D Lacunarity *** curve and its numerical integration are used in this model to improve traditional classification result that different morphological types may share the close value of indexes based on global statistical *** at four test areas with different landform types show that improved 3D Lacunarity model can effectively distinguish different morphological types per texture *** sensitivity in distinguishing the tiny differences of texture characteristics of terrain surface shows that the quantification method by 3D Lacu-narity model and its numerical integration presented in this paper could contribute to improving the accuracy of land-form classifications and relative studies.

关键词： digital elevation model (DEM) 3D Lacunarity model spatial pattern terrain texture landform

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Does DE need a C?A proposal for a DE curriculum

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International Journal of Digital Earth 2014年第1期7卷 88-92页

作者： Tim Foresman Sven Schade Yola Georgiadou josef strobl International Center for Remote Sensing Education BaltimoreMDUSA Shared Environmental Information System(SEIS)Support Program European Environment AgencyCopenhagenDenmark Faculty of Geo-Information Science and Earth Observation(ITC) University of TwenteEnschedeThe Netherlands Department of Geoinformatics Z_GIS University of SalzburgSalzburgAustria

The vision of a digital earth(DE)is continuously evolving,and the next-generation infrastructures,platforms and applications are being *** this article,we attempt to initiate a debate within the DE and with affine communities about‘why’a digital earth curriculum(DEC)is needed,‘how’it should be developed,and‘what’it could look *** is impossible to do justice to the Herculean effort of DEC development without extensive consultations with the broader *** propose a frame for the debate(what,why,and how of a DEC)and a rationale for and elements of a curriculum for educating the coming generations of digital natives and indicate possible *** particularly argue that a DEC is not a déjàvu of classical research and training agendas of geographic information science,remote sensing,and similar fields by emphasizing its unique characteristics.

关键词： learning education teaching training curriculum

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Identifying ephemeral gullies from high-resolution images and DEMs using flow-directional detection

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Journal of Mountain Science 2020年第12期17卷 3024-3038页

作者： DAI Wen HU Guang-hui YANG Xin YANG Xian-wu CHENG Yi-han XIONG Li-yang strobl josef TANG Guo-an Key Laboratory of Virtual Geographic Environment(Nanjing Normal University) Ministry o f EducationNanjing 210023China Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution Xinyang Normal UniversityXinyang 464000China School of Geography Nanjing Normal UniversityNanjing 210023China Jiangsu Center fo r(Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China Department of Geoinformatics-Z_GIS University of SalzburgSalzburg 5020Austria

Ephemeral gullies,which are widely developed worldwide and threaten farmlands,have aroused a growing *** and mapping gullies are generally considered prerequisites of gully erosion ***,ephemeral gully mapping remains a *** this study,we proposed a flow-directional detection for identifying ephemeral gullies from high-resolution images and digital elevation models(DEMs).Ephemeral gullies exhibit clear linear features in high-resolution *** edge detection operator was initially used to identify linear features from high-resolution ***,according to gully erosion mechanism,the flow-directional detection was *** images obtained from edge detection and flow directions obtained from DEMs were used to implement the flow-directional detection that detects ephemeral gullies along the flow *** from ten study areas in the Loess Plateau of China showed that ranges of precision,recall,and Fmeasure are 6 o.66%-90.47%,65.74%-94.98%,and63.10%-91.93%,*** proposed method is flexible and can be used with various images and ***,analysis of the effect of DEM resolution and accuracy showed that DEM resolution only demonstrates a minor effect on the detection ***,DEM accuracy influences the detection result and is more important than the DEM *** worse the vertical accuracy of DEM,the lower the performance of the flow-directional detection will *** work is beneficial to research related to monitoring gully erosion and assessing soil loss.

关键词： Ephemeral gully mapping Edge detection Flow direction Gully erosion Google Earth image ASTER GDEM

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The impact of resolution on the accuracy of hydrologic data derived from DEMs

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Journal of Geographical Sciences 2001年第4期11卷 13-21页

作者： Tang Guo-an Hui Yang-he josef strobl Liu Wang-qing Department of Geography Northwest University Xi’an China Department of Geography Salzburg University Austria

Hydrologic data derived from digital elevation models (DEM) has been regarded as an effective method in the spatial analysis of geographical information systems (GIS). However, both DEM resolution and terrain complexity has impacts on the accuracy of hydrologic derivatives. In this study, a multi-resolution and multi-relief comparative approach was used as a major methodology to investigate the accuracy of hydrologic data derived from DEMs. The experiment reveals that DEM terrain representation error affects the accuracy of DEM hydrological derivatives (drainage networks and watershed etc.). Coarser DEM resolutions can usually cause worse results. However, uncertain result commonly exists in this calculation. The derivative errors can be found closely related with DEM vertical resolution and terrain roughness. DEM vertical resolution can be found closely related with the accuracy of DEM hydrological derivatives, especially in the smooth plain area. If the mean slope is less than 4 degrees, the derived hydrologic data are usually unreliable. This result may be helpful in estimating the accuracy of the hydrologic derivatives and determining the DEM resolution that is appropriate to the accuracy requirement of a particular user. By applying a threshold value to subset the cells of a higher accumulation flow, a stream network of a specific network density can be extracted. Some very important geomorphologic characteristics, e.g., shallow and deep gullies, can be separately extracted by means of adjusting the threshold value. However, such a flow accumulation- based processing method can not correctly derive those streams that pass through the working area because it is hard to accumulate enough flow direction values to express the stream channels at the stream's entrance area. Consequently, errors will definitely occur at the stream抯 entrance area. In addition, erroneous derivatives can also be found in deriving some particular rivers, e.g., perched (hanging up) rivers,

关键词： DEM resolution stream network accuracy

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Geographic information science in the era of geospatial big data: A cyberspace perspective

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The Innovation 2022年第5期3卷 21-22页

作者： Xintao Liu Min Chen Christophe Claramunt Michael Batty Mei-Po Kwan Ahmad MSenousi Tao Cheng josef strobl Arzu Cöltekin John Wilson Temenoujka Bandrova Milan Konecny Paul MTorrens Fengyuan Zhang Li He Jinfeng Wang Carlo Ratti Olaf Kolditz Alexander Klippel Songnian Li Hui Lin Guonian Lu Department of Land Surveying and Geo-Informatics Hong Kong Polytechnic UniversityHong Kong SARKowloonChina Key Laboratory of Virtual Geographic Environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjing 210023China The French Naval Academy Research Institute 29240 Lanveoc-PoulmicFrance The Bartlett Centre for Advanced Spatial Analysis(CASA) University College London(UCL)WC1E 6BT LondonUK Institute of Space and Earth Information Science The Chinese University of Hong KongHong Kong SARShatin 999077China Department of Civil Engineering Cairo University12613 CairoEgypt SpaceTimeLab Department of CivilEnvironmental and Geomatic EngineeringUniversity College London(UCL)WC1E 6BT LondonUK Department of Geoinformatics University of Salzburg5020 SalzburgAustria Institute of Interactive Technologies(IIT) University of Applied Sciences and Arts Northwestern Switzerland FHNW5210 WindischSwitzerland Spatial Sciences Institute University of Southern CaliforniaLos AngelesCA 90007USA Laboratory on Cartography Department of Photogrammetry and CartographyUniversity of ArchitectureCivil Engineering and Geodesy1164 SofiaBulgaria Laboratory on Geoinformatics and Cartography Department of GeographyMasaryk University61137 BrnoCeskáRepublika Computer Science and Engineering Tandon School&Center for Urban Science+ProgressNew York UniversityNew YorkNY 10012USA School of Humanities and Social Science Xi’an Jiaotong UniversityXi’an 710049China Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China Department of Urban Studies and Planning Massachusetts Institute of TechnologyCambridgeMA 02139USA Centre for Environmental Research Helmholtz Centre for Environmental Research-UFZ04318 LeipzigGermany Laboratory of Geo-information Science and Remote Sensing Wageningen University&ResearchWageningen 6708the Netherlands Department of Civil Engineering Toronto Metropolitan UniversityTorontoON M5B 2K3Canada School of Geography and Env

The advent of information and communication technology and the Internet of Things have led our society toward a digital *** proliferation of personal computers,smartphones,intelligent autonomous sensors,and pervasive network interactions with individuals have gradually shifted human activities from offline to online and from in person to *** transformation has brought a series of challenges in a variety of fields,such as the dilemma of placelessness,some aspects of timelessness(no time relevance),and the changing relevance of distance in the field of geographic information science(GIScience).In the last two decades,“cyber thinking”in GIScience has received significant attention from different *** instance,human activities in“cyberspace”need to be reconsidered when coupled with the geographic space to observe the first law of geography.

关键词： computer cyber instance

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Evaluation on the accuracy of digital elevation models

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Journal of Geographical Sciences 2001年第2期11卷 209-216页

作者： TANG Guo-an~1, josef strobl~2, GONG Jian-ya~3, ZHAO Mu-dan~1, CHEN Zhen-jiang~1 (1. Department of Geography, Northwest University, Xi’an 710069, China 2. Department of Geography and Geoinformation, Salzburg University, Hellbrunnerstr. 34, A-5020 Salzb Department of Geography Northwest University Xi’an China Department of Geography and Geoinformation Salzburg University Salzburg Austria National Laboratory for Information Engineering in Survey Mapping and Remote Sensing Wuhan University Wuhan China

There is a growing interest in investigating the accuracy of digital elevation model (DEM). However people usually have an unbalanced view on DEM errors. They emphasize DEM sampling errors, but ignore the impact of DEM resolution and terrian roughness on the accuracy of terrain representation. This research puts forward the concept of DEM terrain representation error (Et) and then investigates the generation, factors, measurement and simulation of DEM terrain representation errors. A multi-resolution and multi-relief comparative approach is used as the major methodology in this research. The experiment reveals a quantitative relationship between the error and the variation of resolution and terrain roughness at a global level. Root mean square error (RMS Et) is regressed against surface profile curvature (V) and DEM resolution (R) at 10 resolution levels. It is found that the RMS Et may be expressed asRMS Et=(0.0061·V+0.0052)·V+0.2415. This result may be very useful in forecasting DEM accuracy, as well as in determining the DEM resolution related to the accuracy requirement of particular application.

关键词： DEM accuracy resolution terrain

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