暂无分享,去创建一个
Filip Biljecki | Nikola Milojevic-Dupont | Felix Creutzig | Lawrence Zheng Xiong Chew | Nikola Milojevic-Dupont | F. Creutzig | F. Biljecki | L. Chew
[1] G. Wiersma,et al. Status of National Open Spatial Data Infrastructures: a Comparison Across Continents , 2020, Int. J. Spatial Data Infrastructures Res..
[2] P. Hostert,et al. Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates , 2021, PloS one.
[3] Jantien E. Stoter,et al. Automated reconstruction of 3D input data for noise simulation , 2020, Comput. Environ. Urban Syst..
[4] Nikola Milojevic-Dupont,et al. Learning from urban form to predict building heights , 2020, PloS one.
[5] Alexander Zipf,et al. Quality Evaluation of VGI Using Authoritative Data - A Comparison with Land Use Data in Southern Germany , 2015, ISPRS Int. J. Geo Inf..
[6] Dipto Sarkar,et al. Corporate Editors in the Evolving Landscape of OpenStreetMap , 2019, ISPRS Int. J. Geo Inf..
[7] X. Bai,et al. Urbanization in and for the Anthropocene , 2021, npj Urban Sustainability.
[8] Ravi Peters,et al. GENERATING, STORING, UPDATING AND DISSEMINATING A COUNTRYWIDE 3D MODEL , 2020, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
[9] Marijn Janssen,et al. Citizen engagement with open government data , 2020, Transforming Government: People, Process and Policy.
[10] Corinne Le Quéré,et al. Urban infrastructure choices structure climate solutions , 2016 .
[11] F. Biljecki. EXPLORATION OF OPEN DATA IN SOUTHEAST ASIA TO GENERATE 3D BUILDING MODELS , 2020, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
[12] Marco Minghini,et al. OpenStreetMap history for intrinsic quality assessment: Is OSM up-to-date? , 2019, Open Geospatial Data, Software and Standards.
[13] Manfred Mittlböck,et al. 3D Building Maps for Everyone - Mapping Buildings Using VGI , 2017, AGILE Conf..
[14] Daniel Feldmeyer,et al. Using OpenStreetMap Data and Machine Learning to Generate Socio-Economic Indicators , 2020, ISPRS Int. J. Geo Inf..
[15] Lyudmila Bershadskaya,et al. Planning and designing open government data programs: An ecosystem approach , 2016, Gov. Inf. Q..
[16] T. Esch,et al. Breaking new ground in mapping human settlements from space – The Global Urban Footprint , 2017, 1706.04862.
[17] N. Frantzeskaki,et al. Sustainability and resilience for transformation in the urban century , 2019, Nature Sustainability.
[18] Glen Hart,et al. A tool for matching crowd-sourced and authoritative geospatial data , 2015, 2015 International Conference on Military Communications and Information Systems (ICMCIS).
[19] Paul Raftery,et al. The Building Data Genome Project 2, energy meter data from the ASHRAE Great Energy Predictor III competition , 2020, Scientific Data.
[20] Hartwig H. Hochmair,et al. OSM Data Import as an Outreach Tool to Trigger Community Growth? A Case Study in Miami , 2018, ISPRS Int. J. Geo Inf..
[21] Aliyu Salisu Barau,et al. Six research priorities for cities and climate change , 2018, Nature.
[22] Christophe Debruyne,et al. Publishing authoritative geospatial data to support interlinking of building information models , 2021 .
[23] Cuizhen Wang,et al. Estimates of exposure to the 100-year floods in the conterminous United States using national building footprints , 2020 .
[24] Yannis Charalabidis,et al. Benefits, Adoption Barriers and Myths of Open Data and Open Government , 2012, Inf. Syst. Manag..
[25] Alexander Zipf,et al. Exploration of OpenStreetMap missing built-up areas using twitter hierarchical clustering and deep learning in Mozambique , 2020, ISPRS Journal of Photogrammetry and Remote Sensing.
[26] Alexander Zipf,et al. Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience , 2020, Int. J. Geogr. Inf. Sci..
[27] Alfonso Quarati,et al. Geospatial Open Data Usage and Metadata Quality , 2021, ISPRS Int. J. Geo Inf..
[28] Doreen S. Boyd,et al. Predicting residential building age from map data , 2019, Comput. Environ. Urban Syst..
[29] K. Seto,et al. Roadmap towards justice in urban climate adaptation research , 2016 .
[30] William F. Lamb,et al. Upscaling urban data science for global climate solutions , 2019, Global Sustainability.
[31] Nikola Milojevic-Dupont,et al. Machine learning for geographically differentiated climate change mitigation in urban areas , 2021, Sustainable Cities and Society.
[32] F. Creutzig. Towards typologies of urban climate and global environmental change , 2015 .
[33] Frederika Welle Donker,et al. Assessing the Openness of Spatial Data Infrastructures (SDI): Towards a Map of Open SDI , 2018, Int. J. Spatial Data Infrastructures Res..
[34] Global Facility for Disaster Reduction and Recovery. Identifying Success Factors in Crowdsourced Geographic Information Use in Government , 2018 .
[35] Peter J. Diggle,et al. Analysis of OpenStreetMap Data Quality at Different Stages of a Participatory Mapping Process: Evidence from Slums in Africa and Asia , 2021, ISPRS Int. J. Geo Inf..
[36] Kent T. Jacobs,et al. OpenStreetMap quality assessment using unsupervised machine learning methods , 2020, Trans. GIS.
[37] Hansi Senaratne,et al. A review of volunteered geographic information quality assessment methods , 2017, Int. J. Geogr. Inf. Sci..
[38] C. Yuan,et al. Mitigating Intensity of Urban Heat Island by Better Understanding on Urban Morphology and Anthropogenic Heat Dispersion , 2020, Building and Environment.
[39] Wenwen Li,et al. A Five-Star Guide for Achieving Replicability and Reproducibility When Working with GIS Software and Algorithms , 2020, Annals of the American Association of Geographers.
[40] Pascal Neis,et al. Assessing the Effect of Data Imports on the Completeness of OpenStreetMap – A United States Case Study , 2013, Trans. GIS.
[41] Zhiyong Wang,et al. A Data Model for Using OpenStreetMap to Integrate Indoor and Outdoor Route Planning , 2018, Sensors.
[42] J. Hall,et al. Infrastructure for sustainable development , 2019, Nature Sustainability.
[43] Filip Biljecki,et al. 3D city models for urban farming site identification in buildings , 2020, Comput. Environ. Urban Syst..
[44] Marijn Janssen,et al. Open data policies, their implementation and impact: A framework for comparison , 2014, Gov. Inf. Q..
[45] Vyron Antoniou,et al. MEASURES AND INDICATORS OF VGI QUALITY: AN OVERVIEW , 2015 .
[46] Karen C. Seto,et al. Sustainability in an urbanizing planet , 2017, Proceedings of the National Academy of Sciences.
[47] F. Creutzig,et al. Urban Climate Change Mitigation in Europe: Looking at and beyond the Role of Population Density , 2014 .
[48] A. Meijer,et al. Open data work: understanding open data usage from a practice lens , 2020 .
[49] Theresa A. Pardo,et al. A Framework for Benchmarking Open Government Data Efforts , 2014, 2014 47th Hawaii International Conference on System Sciences.
[50] T. Reindl,et al. Impact of urban block typology on building solar potential and energy use efficiency in tropical high-density city , 2019, Applied Energy.
[51] Rishee K. Jain,et al. SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods , 2020 .
[52] H. Nagendra,et al. The urban south and the predicament of global sustainability , 2018, Nature Sustainability.
[53] K. Seto,et al. Building a global urban science , 2018, Nature Sustainability.
[54] João Vitor Meza Bravo,et al. An Investigation into the Completeness of, and the Updates to, OpenStreetMap Data in a Heterogeneous Area in Brazil , 2015, ISPRS Int. J. Geo Inf..
[55] Clay Westrope,et al. Groundtruthing OpenStreetMap building damage assessment , 2014 .
[56] Maria A. Brovelli,et al. A New Method for the Assessment of Spatial Accuracy and Completeness of OpenStreetMap Building Footprints , 2018, ISPRS Int. J. Geo Inf..
[57] Ken Arroyo Ohori,et al. A triangulation-based approach to automatically repair GIS polygons , 2014, Comput. Geosci..
[58] Avichal Malhotra,et al. A Review on Country Specific Data Availability and Acquisition Techniques for City Quarter Information Modelling for Building Energy Analysis , 2020 .
[59] Zhe Zhu,et al. Understanding an urbanizing planet: Strategic directions for remote sensing , 2019, Remote Sensing of Environment.
[60] Filip Biljecki,et al. QUALITY OF BIM–GIS CONVERSION , 2019 .
[61] Da Yan,et al. Occupancy data at different spatial resolutions: Building energy performance and model calibration , 2021, Applied Energy.
[62] Robert Hecht,et al. Measuring Completeness of Building Footprints in OpenStreetMap over Space and Time , 2013, ISPRS Int. J. Geo Inf..
[63] Hendrik Herold,et al. Mapping Long-Term Dynamics of Population and Dwellings Based on a Multi-Temporal Analysis of Urban Morphologies , 2018, ISPRS Int. J. Geo Inf..
[64] Frederika Welle Donker,et al. How to assess the success of the open data ecosystem? , 2017, Int. J. Digit. Earth.
[65] Filip Biljecki,et al. Extending CityGML for IFC-sourced 3D city models , 2021 .
[66] Aurora Monge-Barrio,et al. The influence of building form variables on the environmental performance of semi-outdoor spaces. A study in mid-rise and high-rise buildings of Singapore , 2021 .