Emerging patterns in multi-sourced data modeling uncertainty

Ali, 2006, Application of Poisson kriging to the mapping of cholera and dysentery incidence in an endemic area of Bangladesh, Int. J. Health Geogr., 5 Bogaert, P., Gengler, S., 2014. Minnorm approximation of maxent/mindiv problems for probability tables. In: Proceedings of the Bayesian Inference and Maximum Entropy Methods in Science and Engineering. MaxEnt 2014, pp. 287–296. Calinski, 1974, A dendrite method for cluster analysis, Commun. Stat.-Theory Methods, 3, 1, 10.1080/03610927408827101 Cardille, 2007, A regression tree-based method for integrating land-cover and land-use data collected at multiple scales, Environ. Ecol. Stat., 14, 161, 10.1007/s10651-007-0012-5 2010, West nile virus activity - united states, 2009, Morb. Mortal. Wkly Rep., 59, 769 Centers for Disease Control and Prevention. 2015. West nile virus. Retrieved from http://www.cdc.gov/westnile. Christakos, 1990, A Bayesian/maximum-entropy view to the spatial estimation problem, Math. Geol., 22, 763, 10.1007/BF00890661 Christakos, 2000 Christakos, 2000, BME analysis of spatiotemporal particulate matter distributions in North Carolina, Atmos. Environ., 34, 3393, 10.1016/S1352-2310(00)00080-7 Comber, 2013, Using control data to determine the reliability of volunteered geographic information about land cover, Int. J. Appl. Earth Obs. Geoinform., 23, 37, 10.1016/j.jag.2012.11.002 Cressie, 1993 De Oliveira, 2014, Poisson kriging: A closer investigation, Spat. Stat., 7, 1, 10.1016/j.spasta.2013.11.001 Diggle, 2010, Geostatistical inference under preferential sampling, J. Roy. Statist. Soc. Ser. C, 59, 191, 10.1111/j.1467-9876.2009.00701.x Frey, 2007, Clustering by passing messages between data points, Science, 315, 972, 10.1126/science.1136800 Fritz, 2009, Geo-Wiki.Org: the use of crowdsourcing to improve global land cover, Remote Sens., 1, 345, 10.3390/rs1030345 Fritz, 2011, Cropland for sub-Saharan Africa: A synergistic approach using five land cover data sets, Geophys. Res. Lett., 38 Gengler, 2015, Bayesian data fusion applied to soil drainage classes spatial mapping, Math. Geosci., 1 Goodchild, 2012, Assuring the quality of volunteered geographic information, Spat. Stat., 1, 110, 10.1016/j.spasta.2012.03.002 Goovaerts, 2005, Simulation-based assessment of a geostatistical approach for estimation and mapping of the risk of cancer, Quant. Geol. Geostat., 14, 787, 10.1007/978-1-4020-3610-1_82 Goovaerts, 2005, Geostatistical modeling of the spatial variability of arsenic in groundwater of southeast Michigan, Water Resour. Res., 41, 10.1029/2004WR003705 Goovaerts, 2008, How does Poisson kriging compare to the popular BYM model for mapping disease risks?, Int. J. Health Geogr., 7 Gotway, 2003, Spatial prediction of counts and rates, Stat. Med., 22, 1415, 10.1002/sim.1523 Haklay, 2010, How many volunteers does it take to map an area well? The validity of linus’ law to volunteered geographic information, Cartogr. J., 47, 315, 10.1179/000870410X12911304958827 Hunter, 2013, Assessing the quality and trustworthiness of citizen science data, Concurr. Comput.: Pract. Exper., 25, 454, 10.1002/cpe.2923 Lajaunie, C., 1991. Local Risk Estimation for a Rare Noncontagious Disease based on Observed Frequencies. In: Note N-36/91/G. Paris. Lee, 2011, Analytic science for geospatial and temporal variability in renewable energy: A case study in estimating photovoltaic output in Arizona, Sol. Energy, 85, 1945, 10.1016/j.solener.2011.05.005 Manore, C.A., Davis, J.K., Christofferson, R.C., Wesson, D.M., Hyman, J.M., Mores, C.N., 2014. Towards an early warning system for forecasting human west nile virus incidence. PLOS Currents Outbreaks, Edition 2 http://dx.doi.org/10.1371/currents.outbreaks.f0b3978230599a56830ce30cb9ce0500. Ohio Department of Health. 2013. Reported Cases of Selected Notifiable Diseases, OH. http://www.odh.ohio.gov/healthstats/disease/idann/idsum13/13idsum.aspx. Olea, 2007, Declustering of clustered preferential sampling for histogram and semivariogram inference, Math. Geol., 39, 453, 10.1007/s11004-007-9108-6 Oliver, 2003, Gaussian cosimulation: Modelling of the cross-covariance, Math. Geol., 35, 681, 10.1023/B:MATG.0000002984.56637.ef Oliver, 1993, Binomial cokriging the risk of a rare disease, CRJ Geostat., 3, 159 Oliver, 1998, Binomial cokriging for estimating and mapping the risk of childhood cancer, Math. Med. Biol., 15, 10.1093/imammb/15.3.279 Perez, 2004, Producing satellite-derived irradiances in complex arid terrain, Sol. Energy, 77, 367, 10.1016/j.solener.2003.12.016 Perez, 2002, A new operational model for satellite-derived irradiances: description and validation, Sol. Energy, 73, 307, 10.1016/S0038-092X(02)00122-6 Pérez-Hoyos, 2012, A methodology to generate a synergetic land-cover map by fusion of different land-cover products, Int. J. Appl. Earth Obs. Geoinform., 19, 72, 10.1016/j.jag.2012.04.011 Ribeiro, P.J. Jr., Diggle, P.J., 2014. geoR: a package for geostatistical analysis. Retrieved from http://cran.r-project.org/package=geoR. Schwab, 2015, Beta-binomial kriging: An improved model for spatial rates, Proc. Environ. Sci., 27, 30, 10.1016/j.proenv.2015.07.101 See, 2013, Mapping cropland in ethiopia using crowdsourcing, Int. J. Geosci., 4, 6, 10.4236/ijg.2013.46A1002 Stein, 1991, Universal kriging and cokriging as a regression procedure, Biometrics, 47, 575, 10.2307/2532147 Tang, W., Lease, M., 2011. Semi-supervised consensus labeling for crowdsourcing. In: Proceedings of the SIGIR 2011 Workshop on Crowdsourcing for Information retrieval, Beijing, China, pp. 36–41. US Department of the Interior, US Geological Survey. 2015. USGS West Nile virus maps. Retrieved from http://diseasemaps.usgs.gov/wnv_ne_human.html. Wahyudi, 2013, Maximum entropy estimation of a Benzene contaminated plume using ecotoxicological assays, Environ. Pollut., 172, 170, 10.1016/j.envpol.2012.08.018 Wang, 2007, Adaptive affinity propagation clustering, Acta Automat. Sinica, 33, 1242 Wimberly, 2008, Ecological niche of the 2003 west nile virus epidemic in the northern great plains of the united states, PLoS One, 3, e3744, 10.1371/journal.pone.0003744 Yahav, 2012, On generating multivariate Poisson data in management science applications, Appl. Stoch. Model. Bus. Ind., 28, 91, 10.1002/asmb.901 Yu, 2015, A GIS tool for spatiotemporal modeling under a knowledge synthesis framework, Stoch. Environ. Res. Risk Assess. Zagouras, 2015, Objective framework for optimal distribution of solar irradiance monitoring networks, Renew. Energy, 80, 153, 10.1016/j.renene.2015.01.046