@Webpage{BoM_2017,
  author        = {{Australian Bureau of Meteorology}},
  title         = {Weather Data Services},
  month         = {05},
  year          = {2017},
  date-added    = {2017-05-16 04:06:56 +0000},
  date-modified = {2017-05-16 04:07:29 +0000},
  keywords      = {BoM, Weather, Australia},
  lastchecked   = {16/05/2017},
  url           = {http://www.bom.gov.au/catalogue/data-feeds.shtml},
}

@manual{R-base,
	Address = {Vienna, Austria},
	Author = {{R Core Team}},
	Organization = {R Foundation for Statistical Computing},
	Title = {R: A Language and Environment for Statistical Computing},
	Url = {https://www.R-project.org/},
	Year = {2017},
	Bdsk-Url-1 = {https://www.R-project.org/}}

@article{Wickham2014,
	Abstract = {A huge amount of effort is spent cleaning data to get it ready for analysis, but there has been little research on how to make data cleaning as easy and effective as possible. This paper tackles a small, but important, component of data cleaning: data tidying. Tidy datasets are easy to manipulate, model and visualize, and have a specific structure: each variable is a column, each observation is a row, and each type of observational unit is a table. This framework makes it easy to tidy messy datasets because only a small set of tools are needed to deal with a wide range of un-tidy datasets. This structure also makes it easier to develop tidy tools for data analysis, tools that both input and output tidy datasets. The advantages of a consistent data structure and matching tools are demonstrated with a case study free from mundane data manipulation chores.},
	Author = {Hadley Wickham},
	Doi = {10.18637/jss.v059.i10},
	Issn = {1548-7660},
	Journal = {Journal of Statistical Software},
	Number = {1},
	Pages = {1--23},
	Title = {Tidy Data},
	Url = {https://www.jstatsoft.org/index.php/jss/article/view/v059i10},
	Volume = {59},
	Year = {2014},
	Bdsk-Url-1 = {https://www.jstatsoft.org/index.php/jss/article/view/v059i10},
	Bdsk-Url-2 = {http://dx.doi.org/10.18637/jss.v059.i10}}

@article{VENALAINEN20021045,
title = "Meteorological data for agricultural applications",
journal = "Physics and Chemistry of the Earth, Parts A/B/C",
volume = "27",
number = "23",
pages = "1045 - 1050",
year = "2002",
note = "",
issn = "1474-7065",
doi = "http://dx.doi.org/10.1016/S1474-7065(02)00140-7",
url = "http://www.sciencedirect.com/science/article/pii/S1474706502001407",
author = "Ari Venäläinen and Martti Heikinheimo",
}

@article{RAMACHANDRA20071460,
title = "Spatial mapping of renewable energy potential",
journal = "Renewable and Sustainable Energy Reviews",
volume = "11",
number = "7",
pages = "1460 - 1480",
year = "2007",
note = "",
issn = "1364-0321",
doi = "http://dx.doi.org/10.1016/j.rser.2005.12.002",
url = "http://www.sciencedirect.com/science/article/pii/S1364032106000050",
author = "T.V. Ramachandra and B.V. Shruthi",
keywords = "Renewable energy",
keywords = "Spatial analysis",
keywords = "Solar energy",
keywords = "Wind energy",
keywords = "Hydroenergy",
keywords = "Bioenergy",
keywords = "Energy demand",
keywords = "Energy potential",
keywords = "Bioenergy status",
keywords = "GIS"
}

@article{ALCOFORADO200956,
title = "Application of climatic guidelines to urban planning",
journal = "Landscape and Urban Planning",
volume = "90",
number = "1",
pages = "56 - 65",
year = "2009",
note = "",
issn = "0169-2046",
doi = "http://dx.doi.org/10.1016/j.landurbplan.2008.10.006",
url = "http://www.sciencedirect.com/science/article/pii/S0169204608001746",
author = "Maria-João Alcoforado and Henrique Andrade and António Lopes and João Vasconcelos",
keywords = "Urban planning",
keywords = "Urban climate",
keywords = "Master Plans",
keywords = "Urban sustainability",
keywords = "GIS"
}

@article{SVENSSON200237,
title = "Diurnal air temperatures in built-up areas in relation to urban planning",
journal = "Landscape and Urban Planning",
volume = "61",
number = "1",
pages = "37 - 54",
year = "2002",
note = "",
issn = "0169-2046",
doi = "http://dx.doi.org/10.1016/S0169-2046(02)00076-2",
url = "http://www.sciencedirect.com/science/article/pii/S0169204602000762",
author = "Marie K. Svensson and Ingegärd Eliasson",
keywords = "Comfort",
keywords = "Air temperature",
keywords = "Land use/land cover"
}


@article{DeWolf2003,
	Annote = {doi: 10.1094/PHYTO.2003.93.4.428},
	Author = {De Wolf, E. D. and Madden, L. V. and Lipps, P. E.},
	Journal = {Phytopathology},
	Doi = {10.1094/PHYTO.2003.93.4.428},
	Isbn = {0031-949X},
	Journal = {Phytopathology},
	Journal1 = {Phytopathology},
	M3 = {doi: 10.1094/PHYTO.2003.93.4.428},
	Month = {2017/08/28},
	Number = {4},
	Pages = {428--435},
	Publisher = {Scientific Societies},
	Title = {Risk Assessment Models for Wheat Fusarium Head Blight Epidemics Based on Within-Season Weather Data},
	Ty = {JOUR},
	Url = {https://doi.org/10.1094/PHYTO.2003.93.4.428},
	Volume = {93},
	Year = {2003},
	Year1 = {2003},
	Bdsk-Url-1 = {https://doi.org/10.1094/PHYTO.2003.93.4.428},
	Bdsk-Url-2 = {http://dx.doi.org/10.1094/PHYTO.2003.93.4.428}}

  @Manual{Sparks2017,
    title = {{WINS}: Crop Stress Weather Information Delivery System in R},
    year = {2017},
    author = {Adam Sparks and Keith Pembleton and Gordon Grundy},
    note = {R package version 0.0.1.9000},
    url = {https://github.com/ToowoombaTrio/WINS},
  }