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Basic Diagnosis and Prediction of Persistent Contrail Occurrence Using High-Resolution Numerical Weather Analyses/Forecasts and Logistic Regression. Part I: Effects of Random Error

David P. Duda, Patrick Minnis
2009 Journal of Applied Meteorology and Climatology  
The simulated observations are based on distributions of temperature, humidity, and vertical velocity derived from Advanced Regional Prediction System (ARPS) weather analyses.  ...  Straightforward application of the Schmidt-Appleman contrail formation criteria to diagnose persistent contrail occurrence from numerical weather prediction data is hindered by significant bias errors  ...  Sample meteorological data To build the test model, atmospheric profiles of temperature, humidity, and vertical velocity were derived from the 27-km horizontal resolution ARPS in 25-hPa intervals from  ... 
doi:10.1175/2009jamc2056.1 fatcat:xngry3xn6beitikkve4umf7atu

Privacy-preserving ranking over vertically partitioned data

Keivan Kianmehr, Negar Koochakzadeh
2012 Proceedings of the 2012 Joint EDBT/ICDT Workshops on - EDBT-ICDT '12  
Privacy concerns in many application domains prevents sharing of data, which limits data mining technology to identify patterns and trends from large amount of data.  ...  By vertically partitioned data, each site contains some attributes of the entities in the environment.  ...  To simulate vertically partitioned data, we randomly distribute 102 predictor features in two different sites.  ... 
doi:10.1145/2320765.2320825 dblp:conf/edbt/KianmehrK12 fatcat:aem7ra7vezgdtal3kgwji7p6za

Multiplex Network Regression: How do relations drive interactions? [article]

Giona Casiraghi
2020 arXiv   pre-print
We introduce a statistical regression model to investigate the impact of dyadic relations on complex networks generated from observed repeated interactions.  ...  To demonstrate the power of our approach, we investigate an example based on empirical data.  ...  We can build the fourth predictor using the social networks obtained from self-reported friendship relations. Because this data is self-reported, it generates a directed social network.  ... 
arXiv:1702.02048v2 fatcat:mi67faio6zhxngtjrh5oboy7ha

Are Cities Truly Dispersed? A Long-Term Analysis of Vertical Profile of Settlements in Athens' Metropolitan Region

Jesús Rodrigo-Comino, Barbara Ermini
2021 Sustainability  
Nonparametric correlation between the average (vertical) profile of each municipality and the distance from downtown Athens revealed a substantially stable mono-centric structure over time, with small  ...  Transitioning slowly from a dense to a more dispersed settlement structure, Athens' dynamics revealed a quite representative model for cities expanding significantly but remaining substantially compact  ...  Data Sources and Elementary Variables Aggregated data from building permits (including new constructions only) released between 1983 and 2019 by each statutory municipality in the study area were considered  ... 
doi:10.3390/su13063365 fatcat:z3m6ufgrenbwhgs2lc447avonm

Lidar remote sensing variables predict breeding habitat of a Neotropical migrant bird

Scott J. Goetz, Daniel Steinberg, Matthew G. Betts, Richard T. Holmes, Patrick J. Doran, Ralph Dubayah, Michelle Hofton
2010 Ecology  
An ensemble decision tree modeling approach (random forests) consistently identified lidar metrics describing the vertical distribution and complexity of canopy elements as important predictors of habitat  ...  A topic of recurring interest in ecological research is the degree to which vegetation structure influences the distribution and abundance of species.  ...  Financial support for field data collection was provided by the U.S. National Science Foundation LTER program.  ... 
doi:10.1890/09-1670.1 pmid:20583698 fatcat:4bvv2zj6v5atzigkpslvpsmvou

4D Building Reconstruction with Machine Learning and Historical Maps

Elisa Mariarosaria Farella, Emre Özdemir, Fabio Remondino
2021 Applied Sciences  
Several machine learning regression techniques are analysed and employed for deriving missing height data from digitised multi-temporal maps.  ...  The aim is to realise 4D LoD1 buildings for geospatial analyses and visualisation, valorising historical data, and urban studies.  ...  Data distribution for the Trento and Bologna dataset.  ... 
doi:10.3390/app11041445 fatcat:siftpdfiqracrbj73gszznehku

Quantitative precipitation estimation with weather radar using a data- and information-based approach

Malte Neuper, Uwe Ehret
2019 Hydrology and Earth System Sciences  
In this context, predictive relations are expressed by empirical discrete probability distributions directly derived from data instead of fitting and applying deterministic functions, as is standard operational  ...  available meteorological data from existing stations.  ...  From this we can conclude that the full data set contains considerable redundancy, which in turn implies that we can build robust one-predictor models from the available data.  ... 
doi:10.5194/hess-23-3711-2019 fatcat:5naddm4ba5cgxitm5474d2knfq

Mass predicts web asymmetry in Nephila spiders

Matjaž Kuntner, Matjaž Gregorič, Daiqin Li
2010 Die Naturwissenschaften  
Abstract The architecture of vertical aerial orb webs may be affected by spider size and gravity or by the available web space, in addition to phylogenetic and/or developmental factors.  ...  -000-355-112) to DL from the Singapore Ministry of Education AcRF.  ...  This work was funded by the grants to MK from the Slovenian Research Agency (J1-2063) and the Raffles Museum for Biodiversity Research Fellowship, National University of Singapore, and the grant (R-154  ... 
doi:10.1007/s00114-010-0736-1 pmid:21060982 fatcat:jj5bedwui5cgvmctrsenc5gsge

Quantitative precipitation estimation with weather radar using a data- and information-based approach

Malte Neuper, Uwe Ehret
2019 Hydrology and Earth System Sciences Discussions  
In this context predictive relations are expressed by empirical discrete probability distributions directly derived from data instead of fitting and applying deterministic functions as it is standard operational  ...  meteorological data from existing stations.  ...  CC BY 4.0 License. building models from available, limited data.  ... 
doi:10.5194/hess-2018-606 fatcat:dn2hw7aofjcsliozhnqig23zq4

Empirical-statistical reconstruction of surface marine winds along the western coast of Canada

M Faucher, WR Burrows, L Pandolfo
1999 Climate Research (CR)  
Using the selected predictors, NFIS builds a model for continuous output of the predictand.  ...  CART is a tree-based algorithm used to optimize the process of selecting relevant predictors from a large pool of potential predictors.  ...  Our predictors correspond to various large-scale atmospheric variables derived from the NCEP reana-lyzed data. NFIS is used to build final models of the predictand data.  ... 
doi:10.3354/cr011173 fatcat:abgv26fbijg6zmz4k3st2skkle

The relative contribution of terrain, land cover, and vegetation structure indices to species distribution models

John W. Wilson, Joseph O. Sexton, R. Todd Jobe, Nick M. Haddad
2013 Biological Conservation  
We classified 19 continuous environmental predictor variables into three conceptually independent predictor classes, terrain, land cover, and vertical vegetation structure, and compared the accuracy of  ...  We confirm that variables obtained from remote sensors can effectively estimate the distribution and ecological needs of a relatively unknown imperiled species occurring in inaccessible locations.  ...  of results obtained from remotely sensed data (Turner et al., 2003) .  ... 
doi:10.1016/j.biocon.2013.04.021 fatcat:mn3afvdu3rbtde4xdjjnnn3bde

Efficient encoding of texture coordinates guided by mesh geometry

Libor Váša, Guido Brunnett
2014 Computer graphics forum (Print)  
We propose two approaches building on this idea: first, applying a recently proposed generalization of the parallelogram predictor, using the inner angles of mesh triangles corresponding to the UV-space  ...  In this paper, we investigate the possibilities of efficient encoding of UV coordinates associated with vertices of a triangle mesh.  ...  In this scenario, the decoder forms a prediction of the value that is about to be decoded from the data stream, based on the data available to it (i.e. from the positions of previously decoded vertices  ... 
doi:10.1111/cgf.12428 fatcat:pnno3b7iqfgwbfa63eiow33vpu

Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China

Jiping Gong, Yuanman Hu, Miao Liu, Rencang Bu, Yu Chang, Muhammad Bilal, Chunlin Li, Wen Wu, Baihui Ren
2016 Polish Journal of Environmental Studies  
We evaluated whether the addition of annual satellite aerosol optical depth (AOD) observations and fi ve canyon indicators (building height, building coverage ratio, fl oor area ratio, building shape coeffi  ...  The full models incorporating the annual AOD data and canyon indicators showed further improvement.  ...  Satellite Data MODIS collection 5.1 Terra and Aqua AOD products obtained from NASA's Goddard Earth Sciences Distributed Active Archive Center were used in the analysis [22] .  ... 
doi:10.15244/pjoes/61261 fatcat:hipycfzofzdurmtjxfpy573pwe

Identifying key variables and interactions in statistical models of building energy consumption using regularization

David Hsu
2015 Energy  
Statistical models can only be as good as the data put into them.  ...  This paper therefore makes two main contributions to the modeling and analysis of energy consumption of buildings.  ...  Thank you to Albert Han, Daniel Suh, and Jeremy Strauss for their meticulous work in cleaning and assembly of data from many sources.  ... 
doi:10.1016/j.energy.2015.02.008 fatcat:aiyqyjmtkjdb5esnqdyadehvge

Generating 3D city models without elevation data

Filip Biljecki, Hugo Ledoux, Jantien Stoter
2017 Computers, Environment and Urban Systems  
We show that it is possible to predict the height of buildings from 2D data (their footprints and attributes available in volunteered geoinformation and cadastre), and then extrude their footprints to  ...  Highlights • Lack of elevation data hinders the construction of 3D city models. • We infer heights of buildings solely from 2D footprints and attributes. • LOD1 models are generated by extruding footprints  ...  Acknowledgements We gratefully acknowledge the reviewers for their comments, and the City of Rotterdam, Kadaster, Statistics Netherlands, and AHN for providing the data.  ... 
doi:10.1016/j.compenvurbsys.2017.01.001 fatcat:iqe37z5c4jg5xgh2pxrtie2hf4
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