Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Zhong, C., Huang, X., Arisona, S. M., Schmitt, G. & Batty, M. (2014) Inferring building functions from a probabilistic model using public transportation data , Computers, Environment and Urban Systems, 48, 124–137

	Zhong, C., S. Müller Arisona, X. Huang & G. Schmitt (2013) Identifying Spatial Structure of Urban Functional Centers Using Travel Survey Data: A Case Study of Singapore , Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place, 28-33. Orlando FL, USA: ACM

	Zhou L, Pan S, Wang J, et al (2017) Machine learning on big data: opportunities and challenges , Neurocomputing 2017; 237: 350–361

	Zhou Y, Huang J, Dai X, et al (2020) HoliCity: A city-scale data platform for learning holistic 3D structures , arXiv preprint arXiv:2008.03286

	Zhou, H., Wang, J., & Wilson, K. (2022) Impacts of perceived safety and beauty of park environments on time spent in parks: Examining the potential of street view imagery and phone-based GPS data , International Journal of Applied Earth Observation and Geoinformation, 115, 103078. https://doi.org/10.1016/j.jag.2022.103078

	Zhou, J., Yang, Y. & Webster, C. (2020) Using Big and Open Data to Analyse Transit-Oriented Development: New Outcomes and Improved Attributes , Journal of the American Planning Association, 86(3), 364-376

	Zhou, Q., Parl, J. & Koltun, V. (2018) Open3D: A Modern Library for 3D Data Processing , ArXiv, abs/1801.09847. https://arxiv.org/abs/1801.09847

	Zhou, Q.-Y., Park, J. and Koltun, V. (2018) Open3D: A Modern Library for 3D Data Processing , arXiv:1801.09847 [cs] [Preprint]. Available at: http://arxiv.org/abs/1801.09847 (Accessed: 13 January 2021)

	Zhou, QI, Park, J and Koltun, V (2018) Open3D: A Modern Library for 3D Data Processing , arXiv:1801.09847

	Zhou, X and Zhang, L (2016) Crowdsourcing Functions of the Living City from Twitter and Foursquare data , Cartography and Geographic Information Science, 43(5), pp. 393-404

	Zhou, X (2015) Understanding Temporal Patterns of Biking Behavior By Analyzing Massive Bike Sharing Data in Chicago , PLoS ONE 10 (10): 1–20. https://doi.org/10.1371/journal.pone.0137922

	Zhu Q., Wang X., Keogh E., and Lee S. (2009) Augmenting the generalized hough transform to enable the mining of petroglyphs , Proceedings of the 15th ACM SIGKDD International conference on Knowledge discovery and data mining (KDD '09). Association for Computing Machinery, New York, 1057-1066. https://doi.org/10.1145/1557019.1557133

	Zhu Y and Ferreira J. (2015) Data integration to create large-scale spatially detailed synthetic populations , Geertman S, Ferreira J, Goodspeed R, et al. (eds) Planning support systems and smart cities (Lecture Notes in Geoinformation and Cartography). Cham: Springer, pp. 121–141

	Zhu, J., & Wu, P. (2021) Towards Effective BIM/GIS Data Integration for Smart City by Integrating Computer Graphics Technique , Remote Sensing, 13(10), 1889

	Zhu, J., Wright, G., Wang, J., & Wang, X. (2018) A Critical Review of the Integration of Geographic Information System and Building Information Modelling at the Data Level , ISPRS International Journal of Geo-Information, 7(2), 66

	Zhu, Q., Li, F. and Zhang, Y. (2005) Unified representation of three dimensional city models. , Proceedings of ISPRS Workshop on Service and Application of Spatial Data Infrastructure XXXVI (4/W6), Hangzhou, pp. 237-242

	Zhu, X., Duan, S. B., Li, Z. L., Wu, P., Wu, H., Zhao, W., & Qian, Y. (2022) Reconstruction of land surface temperature under cloudy conditions from Landsat 8 data using annual temperature cycle model , Remote Sensing of Environment, 281, 113261. https://doi.org/10.1016/j.rse.2022.113261

	Zhu, Y. and Ferreira, J. (2015) Data Integration to Create Large-Scale Spatially Detailed Synthetic Populations. , Geertman, S., Ferreira, Jr. J., Goodspeed, R. and Stillwell, J. (eds), Planning Support Systems and Smart Cities. Lecture Notes in Geoinformation and Cartography., Springer, Cham, pp. 121-141

	Zhu, Y., Ferreira, J., (2015) Data Integration to Create Large-Scale Spatially Detailed Synthetic Populations , Geertman, S., Ferreira, J., Goodspeed, R., Stillwell, J. (Eds.), Planning Support Systems and Smart Cities, Lecture NotesGeoinformation and Cartography. Springer International Publishing, 121-141

	Ziyi Tang, Yu Ye, Zhidian Jiang, Chaowei Fu, Rong Huang, and Dong Yao (2020) A Data-Informed Analytical Approach to Human-Scale Greenway Planning: Integrating Multi-Sourced Urban Data with Machine Learning Algorithms , Urban Forestry and Urban Greening 56 (January)

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