Erratum: An environmental data set for vector-borne disease modeling and epidemiology (PLoS ONE (2014) 9, 4, (e94741) DOI:10.1371/journal.pone.0094741);An environmental data set for vector-borne disease modeling and epidemiology

PLoS ONE

Volumn 9, Issue 4, 2014, Pages

  Chabot Couture, Guillaume ^a   Nigmatulina, Karima ^a   Eckhoff, Philip ^a  

^a INSTITUTE FOR DISEASE MODELING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RAIN;

AIR TEMPERATURE; ALGORITHM; ARTICLE; CONTROLLED STUDY; ENVIRONMENTAL FACTOR; HUMIDITY; INFECTION; LAND TEMPERATURE; MADAGASCAR; MATHEMATICAL MODEL; NONHUMAN; TEMPERATURE; TIME SERIES ANALYSIS; VECTOR BORNE DISEASE; ANIMAL; BIOLOGICAL MODEL; COMMUNICABLE DISEASES; DATA BASE; DISEASE CARRIER; ENVIRONMENT; TIME; WEATHER;

ANIMALS; COMMUNICABLE DISEASES; DATABASES AS TOPIC; DISEASE VECTORS; ENVIRONMENT; HUMIDITY; MADAGASCAR; MODELS, BIOLOGICAL; RAIN; TEMPERATURE; TIME FACTORS; WEATHER;

EID: 84899820950     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0103922     Document Type: Erratum

References (108)

1. Kiszewski A, Mellinger A, Spielman A, Malaney P, Sachs SE, et al. (2004) A global index representing the stability of malaria transmission. Am J Trop Med Hyg 70: 486-498. Available: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd= Retrieve&db=PubMed&dopt=Citation&list-uids=15155980.
2. Sinka ME, Rubio-Palis Y, Manguin S, Patil AP, Temperley WH, et al. (2010) The dominant Anopheles vectors of human malaria in the Americas: occurrence data, distribution maps and bionomic précis. Parasit Vectors 3: 72.
3. Bøgh C, Lindsay SW, Clarke SE, Dean A, Jawara M, et al. (2007) High spatial resolution mapping of malaria transmission risk in the Gambia, west Africa, using LANDSAT TM satellite imagery. Am J Trop Med Hyg 76: 875-881. Available: http://www.ajtmh.org/content/76/5/875.short. Accessed 2013 Nov 19.
4. Curran PJ, Atkinson PM, Foody GM, Milton EJ (2000) Linking remote sensing, land cover and disease. Adv Parasitol 47: 37-80.
5. Rogers DJ, Hay SI, Packer MJ (1996) Predicting the distribution of tsetse flies in West Africa using temporal Fourier processed meteorological satellite data. Ann Trop Med Parasitol 90: 225-241. (Pubitemid 26197019)
6. Hay SI, Packer MJ, Roge DJ, Hay SI, Packer MJ, et al. (1997) The impact of remote sensing on the study and control of invertebrate intermediate hosts and vectors for disease. Int J Remote Sens 18: 2899-2930. Available: http://www.tandfonline.com/doi/abs/10.1080/014311697217125.
7. Ostfeld RS, Glass GE, Keesing F (2005) Spatial epidemiology: an emerging (or re-emerging) discipline. Trends Ecol Evol 20: 328-336. (Pubitemid 40772080)
8. Zhou XNN, Lv S, Yang GJJ, Kristensen TK, Bergquist NR, et al. (2009) Spatial epidemiology in zoonotic parasitic diseases: insights gained at the 1st International Symposium on Geospatial Health in Lijiang, China, 2007. Parasit Vectors 2: 10. Available: http://www.pubmedcentral.nih.gov/articlerender.fcgi? artid=2663554&tool=pmcentrez&rendertype=abstract. Accessed 2013 Nov 19.
9. Kaya S, Pultz TJ, Mbogo CM, Beier JC, Mushinzimana E (2002) The use of radar remote sensing for identifying environmental factors associated with malaria risk in coastal Kenya. International Geoscience and Remote Sensing Symposium. pp. 3-5. Available: http://www.pcigeomatics.com/support-center/tech- papers/igarss02-kaya-paper.pdf. Accessed 2013 Nov 19.
10. Hay SI, Guerra CA, Gething PW, Patil AP, Tatem AJ, et al. (2009) A World Malaria Map: Plasmodium falciparum Endemicity in 2007. PLoS Med 6: e1000048. Available: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid= 2659708&tool=pmcentrez&rendertype=abstract. Accessed 2013 May 27.
11. Rogers DJ, Randolph SE, Snow RW, Hay SI (2002) Satellite imagery in the study and forecast of malaria. Nature 415: 710. Available: http://www.nature. com/nature/journal/v415/n6872/abs/415710a.html. Accessed 2013 Nov 19.
12. Krefis AC, Schwarz NG, Nkrumah B, Acquah S, Loag W, et al. (2011) Spatial analysis of land cover determinants of malaria incidence in the Ashanti Region, Ghana. PLoS One 6: e17905.
13. Teklehaimanot HD, Lipsitch M, Teklehaimanot A, Schwartz J (2004) Weather-based prediction of Plasmodium falciparum malaria in epidemicprone regions of Ethiopia I. Patterns of lagged weather effects reflect biological mechanisms. Malar J 3: 41.
14. Verdin J, Funk C, Senay G, Choularton R (2005) Climate science and famine early warning. Philos Trans R Soc L B Biol Sci 360: 2155-2168. (Pubitemid 46696779)
15. Brown Molly E (2008) Famine Early Warning Systems and Remote Sensing Data.
16. Grover-Kopec E, Kawano M, Klaver R, Blumenthal B, Ceccato P, et al. (2005) An online operational rainfall-monitoring resource for epidemic malaria early warning systems in Africa. 4: 6.
17. Depinay JMO, Mbogo CM, Killeen G, Knols B, Beier J, et al. (2004) A simulation model of African Anopheles ecology and population dynamics for the analysis of malaria transmission. Malar J 3: 29. doi:10.1186/1475-2875-3-29.
18. Koenraadt CJMJ, Githeko AKK, Takken W (2004) The effects of rainfall and evapotranspiration on the temporal dynamics of Anopheles gambiae s.s. and Anopheles arabiensis in a Kenyan village. Acta Trop 90: 141-153. Available: http://linkinghub.elsevier.com/retrieve/pii/S0001706X04000579. Accessed 2013 Nov 6.
19. Shaman J, Cane M, Stieglitz M, Spiegelman M (2006) A hydrologically driven model of swamp water mosquito population dynamics. Ecol Modell 194: 395-404. doi:10.1016/j.ecolmodel.2005.10.037.
20. Bomblies A, Duchemin JBB, Eltahir EAB (2009) A mechanistic approach for accurate simulation of village scale malaria transmission. Malar J 8: 223. Available: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid= 2761400&tool=pmcentrez&rendertype=abstract. Accessed 2013 Nov 13.
21. White MT, Griffin JT, Churcher TS, Ferguson NM, Basáñez MG, et al. (2011) Modelling the impact of vector control interventions on Anopheles gambiae population dynamics. Parasit Vectors 4: 153.
22. Smith DL, McKenzie FE (2004) Statics and dynamics of malaria infection in Anopheles mosquitoes. Malar J 3: 13. Available: http://www.pubmedcentral.nih. gov/articlerender.fcgi?artid=449722&tool=pmcentrez&rendertype=abstract. Accessed 2013 Nov 8.
23. McKenzie FE, Killeen GF, Beier JC, Bossert WH (2001) Seasonality, Parasite Diversity, and Local Extinctions in Plasmodium Falciparum Malaria. Ecology 82: 2673-2681. Available: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi? cmd=Retrieve&db=PubMed&dopt=Citation&list-uids=19177178.
24. Magori K, Legros M, Puente ME, Focks DA, Scott TW, et al. (2009) Skeeter Buster: a stochastic, spatially explicit modeling tool for studying Aedes aegypti population replacement and population suppression strategies. PLoS Negl Trop Dis 3: e508. Available: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd= Retrieve&db=PubMed&dopt=Citation&list-uids=19721700.
25. Eckhoff P (2011) A malaria transmission-directed model of mosquito life cycle and ecology. Malar J 10: 303. Available: http://www.malariajournal.com/ content/10/1/303.
26. Craig MH, Snow RW, le Sueur D (1999) A climate-based distribution model of malaria transmission in sub-Saharan Africa. Parasitol Today 15: 105-111.
27. Dietz K, Molineaux L, Thomas A (1974) A malaria model tested in the African savannah. Bull World Heal Organ 50: 347-357.
28. Hoshen MB, Morse AP (2004) A weather-driven model of malaria transmission. Malar J 3: 32. Available: http://www.pubmedcentral.nih.gov/ articlerender.fcgi?artid=520827&tool=pmcentrez&rendertype=abstract. Accessed 2013 May 27.
29. Kristan M, Abeku TA, Beard J, Okia M, Rapuoda B, et al. (2008) Variations in entomological indices in relation to weather patterns and malaria incidence in East African highlands: implications for epidemic prevention and control. Malar J 7: 231.
30. Rueda LM, Patel KJ, Axtell RC, Stinner RE (1990) Temperature-dependent development and survival rates of Culex quinquefasciatus and Aedes aegypti (Diptera: Culicidae). J Med Entomol 27: 892-898.
31. Alto BW, Juliano SA (2001) Temperature effects on the dynamics of Aedes albopictus (Diptera: Culicidae) populations in the laboratory. J Med Entomol 38: 548-556. (Pubitemid 33616488)
32. Lambrechts L, Paaijmans KP, Fansiri T, Carrington LB, Kramer LD, et al. (2011) Impact of daily temperature fluctuations on dengue virus transmission by Aedes aegypti. Proc Natl Acad Sci U S A 108: 7460-7465.
33. Hales S, Weinstein P, Souares Y, Woodward A (1999) El Niño and the dynamics of vectorborne disease transmission. Env Heal Perspect 107: 99. Available: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid= 1566321&tool=pmcentrez&rendertype=abstract.
34. Johansson MA, Dominici F, Glass GE (2009) Local and global effects of climate on dengue transmission in Puerto Rico. PLoS Negl Trop Dis 3: e382.
35. Chaves LF, Pascual M (2006) Climate cycles and forecasts of cutaneous leishmaniasis, a nonstationary vector-borne disease. PLoS Med 3: e295.
36. Yé Y, Hoshen M, Kyobutungi C, Louis VR, Sauerborn R (2009) Local scale prediction of Plasmodium falciparum malaria transmission in an endemic region using temperature and rainfall. Glob Health Action 2: 1-13. Available: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2799324&tool= pmcentrez&rendertype=abstract. Accessed 2013 Nov 19.
37. Ageep TB, Cox J, Hassan MM, Knols BG, Benedict MQ, et al. (2009) Spatial and temporal distribution of the malaria mosquito Anopheles arabiensis in northern Sudan: influence of environmental factors and implications for vector control. Malar J 8: 123.
38. Fillinger U, Sonye G, Killeen GF, Knols BGJ, Becker N (2004) The practical importance of permanent and semipermanent habitats for controlling aquatic stages of Anopheles gambiae sensu lato mosquitoes: operational observations from a rural town in western Kenya. Trop Med Int Heal 9: 1274-1289. Available: http://www.ncbi.nlm.nih.gov/pubmed/15598259.
39. Patz JA, Strzepek K, Lele S, Hedden M, Greene S, et al. (1998) Predicting key malaria transmission factors, biting and entomological inoculation rates, using modelled soil moisture in Kenya. Trop Med Int Heal 3: 818-827. Available: http://www.ncbi.nlm.nih.gov/pubmed/9809915.
40. Jones AE, Wort UU, Morse AP, Hastings IM, Gagnon AS (2007) Climate prediction of El Niño malaria epidemics in north-west Tanzania. Malar J 6: 162. Available: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid= 2228309&tool=pmcentrez&rendertype=abstract. Accessed 2013 May 24.
41. Paaijmans KP, Wandago MO, Githeko AK, Takken W (2007) Unexpected High Losses of Anopheles gambiae Larvae Due to Rainfall. PLoS One 2: e1146. Available: http://dx.plos.org/10.1371/journal.pone.0001146.
42. Elnaiem DE, Schorscher J, Bendall A, Obsomer V, Osman ME, et al. (2003) Risk mapping of visceral leishmaniasis: the role of local variation in rainfall and altitude on the presence and incidence of kala-azar in eastern Sudan. Am J Trop Med Hyg 68: 10-17. (Pubitemid 38234840)
43. Lindsay SW, Parson L, Thomas CJ (1998) Mapping the ranges and relative abundance of the two principal African malaria vectors, Anopheles gambiae sensu stricto and An. arabiensis, using climate data. Proc Biol Sci 265: 847-854. Available: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid= 1689061&tool=pmcentrez&rendertype=abstract.
44. Coz J (1973) Les mécanismes d'isolement génétique dans le complexe Anopheles gambiae Giles. Cah ORSTOM Ent Méd 11: 41-56.
45. Hay SI (2000) An overview of remote sensing and geodesy for epidemiology and public health application. Adv Parasitol 47: 1.
46. Vancutsem C, Ceccato P, Dinku T, Connor SJ (2010) Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa. 114: 449-465.
47. Ceccato P, Vancutsem C, Klaver R, Rowland J, Connor SJ (2012) A Vectorial Capacity Product to Monitor Changing Malaria Transmission Potential in Epidemic Regions of Africa. J Trop Med 2012: 1-6. doi:10.1155/2012/595948.
48. Zhang K, Kimball JS, Nemani RR, Running SW (2010) A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006. 46.
49. Yuan W, Liu S, Yu G, Bonnefond JM, Chen J, et al. (2010) Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data. Remote Sens Environ 114: 1416-1431. Available: http://linkinghub.elsevier.com/retrieve/pii/S0034425710000556. Accessed 2013 Nov 19.
50. Nishida K, Nemani RR, Glassy JM, Running SW (2003) Development of an evapotranspiration index from aqua/MODIS for monitoring surface moisture status. IEEE Trans Geosci Remote Sensing, vol 41, issue 2, pp 493-501 41: 493.
51. Gillies MT (1961) Studies on the dispersion and survival of Anopheles gambiae Giles in East Africa, by means of marking and release experiments. Bull Entomol Res 52: 99. Available: http://www.journals.cambridge.org/abstract- S0007485300055309. Accessed 2013 Nov 19.
52. Tsuda Y, Takagi M, Toma T, Sugiyama A, Miyagi I (1999) Mark-releaserecapture experiment with adult Anopheles minimus (Diptera: Culicidae) on Ishigaki Island, Ryukyu Archipelago, Japan. J Med Entomol 36: 601-604. (Pubitemid 129545963)
53. Chiang GL, Loong KP, Chan ST, Eng KL, Yap HH (1991) Capture-recapture studies with Anopheles maculatus Theobald (Diptera: Culicidae) the vector of malaria in peninsular Malaysia. Southeast Asian J Trop Med Public Health 22: 643-647.
54. Fillinger U, Kannady K, William G, Vanek M, Dongus S, et al. (2008) A tool box for operational mosquito larval control: preliminary results and early lessons from the Urban Malaria Control Programme in Dar es Salaam, Tanzania. Malar J 7: 20. Available: http://www.malariajournal.com/content/7/1/20.
55. De Castro MC, Yamagata Y, Mtasiwa D, Tanner M, Utzinger J, et al. (2004) Integrated urban malaria control: a case study in Dar es Salaam, Tanzania. Am J Trop Med Hyg 71: 103-117. Available: http://www.ajtmh.org/content/71/2-suppl/ 103.short. Accessed 2013 Nov 19.
56. Jacob BG, Muturi E, Halbig P, Mwangangi J, Wanjogu RK, et al. (2007) Environmental abundance of Anopheles (Diptera: Culicidae) larval habitats on land cover change sites in Karima Village, Mwea Rice Scheme, Kenya. Am J Trop Med Hyg 76: 73-80. Available: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd= Retrieve&db=PubMed&dopt=Citation&list-uids=17255233.
57. IRI/LDEO Climate Data Library (n.d.). Available: http://iridl.ldeo. columbia.edu/. Accessed 2013 Nov 19.
58. Rainfall Estimator 2.0 (RFE 2.0) (n.d.). Available: http://www.cpc.ncep. noaa.gov/products/fews/data.shtml. Accessed 2012 Jan 1.
59. Goetz SJ, Prince SD, Small J (2000) Advances in satellite remote sensing of environmental variables for epidemiological applications. Adv Parasitol 47: 289-307.
60. Tatem AJ, Goetz SJ, Hay SI, Tatem Andrew J, Goetz Scott J, et al. (2004) Terra and Aqua: new data for epidemiology and public health. Int J Appl Earth Obs 6: 33-46. Available: http://linkinghub.elsevier.com/retrieve/pii/ S0303243404000388. Accessed 2013 May 28.
61. Njoku EG, Jackson TJ, Lakshmi V, Chan TK, Nghiem SV, et al. (2003) Soil moisture retrieval from AMSR-E. 41: 215-229.
62. Gething PW, Van Boeckel TP, Smith DL, Guerra CA, Patil AP, et al. (2011) Modelling the global constraints of temperature on transmission of Plasmodium falciparum and P. vivax. Parasit Vectors 4: 92. doi:10.1186/1756-3305-4-92.
63. Benali A, Carvalho ACC, Nunes JPP, Carvalhais N, Santos A (2012) Estimating air surface temperature in Portugal using {MODIS} {LST} data. Remote Sens Environ 124: 108-121. Available: http://linkinghub.elsevier.com/retrieve/ pii/S0034425712002003. Accessed 2013 May 28.
64. Hijmans Robert J, Cameron Susan E, Parra Juan L, Jones Peter G, Jarvis A, et al. (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Clim 25: 1965-1978. Available: http://doi.wiley.com/10.1002/ joc.1276. Accessed 2013 Nov 6.
65. Hutchinson M, Hutchinson MF (1998) Interpolation of rainfall data with thin plate smoothing splines. Part II: Analysis of topographic dependence.... Geogr Inf Decis Anal 2: 152-167. Available: https://wiki.52north.org/pub/AI- GEOSTATS/Papers20100623103414/Hutchinson-2.pdf. Accessed 2013 Nov 19.
66. Wan Z, Zhang Y, Zhang Q, Li ZLL (2004) Quality assessment and validation of the MODIS global land surface temperature. Int J Remote Sens 25: 261-274. (Pubitemid 38211483)
67. Justice CO, Townshend RG Jr, Vermote EF, Masuoka E, Wolfe RE, et al. (2002) An overview of MODIS Land data processing and product status. Remote Sens Env 83: 3-15. Available: http://linkinghub.elsevier.com/retrieve/pii/ S0034425702000846.
68. Wan, Wan Z (2008) New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products. Remote Sens Env 112: 59-74. Available: http://linkinghub.elsevier.com/retrieve/pii/S0034425707003665. Accessed 2013 May 28.
69. Seemann S, Li J, Menzel WP, Gumley LE, Seemann S W, et al. (2003) Operational retrieval of atmospheric temperature, moisture, and ozone from MODIS infrared radiances. J Appl Meteorol 42: 1072-1091. Available: http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=881947. Accessed 2013 Nov 19.
70. Singh D (2007) Performance of the AQUA and NOAA-16 soundings over India. 93: 1281.
71. Remer L, Kaufman Y, Tanre D, Mattoo S, Chu D, et al. (2005) The MODIS Aerosol Algorithm, Products, and Validation. J Atmos Sci 62: 947. doi:10.1175/JAS3385.1.
72. Phillips DL, Marks DG (1996) Spatial uncertainty analysis: propagation of interpolation errors in spatially distributed models. Ecol Modell 91: 213-229. Available: http://www.sciencedirect.com/science/article/pii/0304380095001913.
73. Jeffrey SJ, Carter JO, Moodie KB, Beswick AR (2001) Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environ Model Softw 16: 309-330. (Pubitemid 32956227)
74. Nightingale J, Nickeson J, Justice C, Baret F, Garrigues S, et al. (2008) Global validation of EOS land products, lessons learned and future challenges: A MODIS case study. Proceedings of 33rd International Symposium on Remote Sensing of Environment: Sustaining the Millennium Development Goals. Available: http://landval.gsfc.nasa.gov/pdf/ISRSE-Nightingale.pdf. Accessed 2013 Nov 19.
75. Global Summary of the Day (GSOD) (n.d.). Available: http://www7.ncdc. noaa.gov/CDO/cdoselect.cmd. Accessed 2012 Jan 1.
76. Cressie N (1992) Statistics For Spatial Data. Wiley-Interscience.
77. Hartkamp AD, De Beurs K, Stein A, White JW, Artkamp AD, et al. (1999) Interpolation techniques for climate variables. 99-01 N-GS, editor Mexico: Natural Resources Group, GIS Series 99-01. Available: http://tarwi.lamolina.edu. pe/~echavarri/tecnicas-interpolacion-var-clima.pdf. Accessed 2013 Nov 19.
78. Moderate Resolution Imaging Spectroradiometer (MODIS) (n.d.). Available: http://modis.gsfc.nasa.gov/data/. Accessed 2012 Mar 16.
79. Xie P, Arkin PA (1996) Analyses of global monthly precipitation using gauge observations, satellite estimates, and numerical model predictions. 9: 840-858.
80. Ferraro RR, Weng F, Grody NC, Ferraro RR, Grody NC, et al. (1996) An eight-year (1987-1994) time series of rainfall, clouds, water vapor, snow cover, and sea ice derived from SSM/I measurements. Bull Am Meteorol Soc 77: 891. Available: http://journals.ametsoc.org/doi/abs/10.1175/1520-0477(1996) 077〈0891:AEYTSO〉2.0.CO;2. Accessed 2013 Nov 19.
81. Arkin PA, Meisner BN, Arkin P, Meisner B (1987) The relationship between large-scale convective rainfall and cold cloud over the western hemisphere during 1982-84. Mon Weather Rev 115: 51. Available: http://journals.ametsoc.org/ doi/abs/10.1175/1520-0493(1987)115〈0051:TRBLSC〉2.0.CO;2. Accessed 2013 Nov 19.
82. Love TB, Kumar V, Xie P, Thiaw W, Love T (2004) A 20-year daily Africa precipitation climatology using satellite and gauge data. Conference on Applied Climatology. Available: https://ams.confex.com/ams/84Annual/techprogram/paper- 67484.htm. Accessed 2013 Nov 19.
83. Novella N, Thiaw W (2010) Validation of Satellite-Derived Rainfall Products over the Sahel. Available: http://www.eumetsat.int/Home/Main/ AboutEUMETSAT/Publications/ConferenceandWorkshopProceedings/groups/cps/ documents/document/pdf-conf-p55-s6-32-novella-p.pdf. Accessed 2013 Nov 19.
84. Operational Microwave Integrated Retrieval System (MiRS) (n.d.). Available: http://www.osdpd.noaa.gov/ml/mirs/. Accessed 2012 Mar 16.
85. Dodd A, Dodd AV (1965) Dew point distribution in the contiguous United States. Mon Weather Rev 93: 113-122. Available: http://journals.ametsoc.org/doi/ abs/10.1175/1520-0493(1965)093〈0113:DPDITC〉2.3.CO;2. Accessed 2013 Nov 19.
86. New M, Hulme M, Jones P (2000) Representing twentieth-century space-time climate variability. Part II: Development of 1901-96 monthly grids of terrestrial surface climate. J Clim: 2217-2238. Available: http://journals. ametsoc.org/doi/pdf/10.1175/1520-0442(2000) 013〈2217:RTCSTC〈2.0.CO;2. Accessed 2013 Nov 19.
87. New M, Lister D, Hulme M, Makin I (2002) A high-resolution data set of surface climate over global land areas. 21: 1.
88. Mitchell TD, Jones PD, Mitchell Timothy D, Jones Philip D (2005) An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int J Clim 25: 693-712. Available: http://doi.wiley.com/10.1002/joc.1181. Accessed 2013 Nov 19.
89. Rudolf B, Schneider U (2004) Calculation of gridded precipitation data for the global land-surface using in-situ gauge observations: 231-247.
90. Hay SI, Lennon JJ (1999) Deriving meteorological variables across Africa for the study and control of vector-borne disease: a comparison of remote sensing and spatial interpolation of climate. Trop Med Int Heal 4: 58-71. (Pubitemid 29081220)
91. Susskind J, Barnet C, Blaisdell J, Iredell L, Keita F, et al. (2006) Accuracy of geophysical parameters derived from Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit as a function of fractional cloud cover. 111.
92. Hansen J, Lebedeff S (1987) Global trends of measured surface air temperature. 92: 13345-13372.
93. Flores F, Lillo M (2010) Simple air temperature estimation method from Modis satellite images on a regional scale. Chil J Agric Res 70: 436-445. Available: http://www.scielo.cl/pdf/chiljar/v70n3/at11.pdf. Accessed 2013 Nov 19.
94. Ma XL, Wan Z, Moeller CC, Menzel WP, Gumley LE (2002) Simultaneous retrieval of atmospheric profiles, land-surface temperature, and surface emissivity from Moderate-Resolution Imaging Spectroradiometer thermal infrared data: extension of a two-step physical algorithm. Appl Opt 41: 909-924. Available: http://www.ncbi.nlm.nih.gov/pubmed/11908219.
95. Colombi A, De Michele C, Pepe M, Rampini A, Michele C De (2007) Estimation of daily mean air temperature from MODIS LST in Alpine areas. EARSeL eProceedings. Vol. 6. pp. 38-46. Available: http://eproceedings.org/static/ vol06-1/06-1-colombi1.pdf. Accessed 2013 Nov 19.
96. Kim K, Beresford R, Henshall W, Kim KS, Beresford RM, et al. (2008) Spatial interpolation of daily humidity using natural neighbours over the mountain areas in south eastern Australia. New Zeal Plant Prot 61: 292-295. Available: http://www.nzpps.org/journal/61/nzpp-612920.pdf. Accessed 2013 Nov 19.
97. Hart QJ, Brugnach M, Temesgen B, Rueda C, Ustin SL, et al. (2009) Daily reference evapotranspiration for California using satellite imagery and weather station measurement interpolation. Civ Eng Env Syst 26: 19-33. Available: http://www.tandfonline.com/doi/abs/10.1080/10286600802003500. Accessed 2013 Nov 19.
98. Dee DP, Da Silva AM, Silva A da (2003) The choice of variable for atmospheric moisture analysis. Mon Weather Rev 131: 155. Available: http://journals.ametsoc.org/doi/abs/10.1175/1520-0493(2003)131〈0155: TCOVFA〉2.0.CO;2. Accessed 2013 Nov 19.
99. Kimball JS, Running SW, Nemani R (1997) An improved method for estimating surface humidity from daily minimum temperature. Agric For Meteorol 85: 87. Available: http://www.sciencedirect.com/science/article/pii/S0168192396023660. Accessed 2013 Nov 19.
100. Peng G, Li J, Chen Y, Norizan AP, Tay L, et al. (2006) High-resolution surface relative humidity computation using MODIS image in Peninsular Malaysia. Chinese Geogr Sci 16: 260-264. Available: http://link.springer.com/10.1007/ s11769-006-0260-6. Accessed 2013 Nov 19.
101. Neteler M (2010) Estimating Daily Land Surface Temperatures in Mountainous Environments by Reconstructed MODIS LST Data. Remote Sensing, vol 2, issue 1, pp 333-351 2: 333.
102. Scharlemann JPW, Benz D, Hay SI, Purse BV, TatemAJ, et al. (2008) Global data for ecology and epidemiology: a novel algorithm for temporal Fourier processing MODIS data. PLoS One 3: e1408. Available: http://www.pubmedcentral. nih.gov/articlerender.fcgi?artid=2171368&tool=pmcentrez&rendertype= abstract. Accessed 2013 May 23.
103. Hassan QK, Hassan QK, Bourque CPA, Meng FR, Richards W (2007) Spatial mapping of growing degree days: an application of MODIS-based surface temperatures and enhanced vegetation index. J Appl Remote Sens 1: 1. Available: http://remotesensing.spiedigitallibrary.org/article.aspx?doi =10.1117/1.2740040. Accessed 2013 May 28.
104. Hengl T, Heuvelink Gerard B M, Percec Tadic M, Pebesma Edzer J (2011) Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images. Theor Appl Clim: 311.
105. Hutchinson MF (1995) Stochastic space-time weather models from groundbased data. Agric For Meteorol 73: 237-264. Available: http://www.sciencedirect.com/science/article/pii/016819239405077J.
106. Daly C, Gibson WP, Taylor GH, Johnson GL, Pasteris P (2002) A knowledge-based approach to the statistical mapping of climate. 22: 99.
107. Hunter RD, Meentemeyer RK, Hunter RD, Meentemeyer RK (2005) Climatologically aided mapping of daily precipitation and temperature. J Appl Meteorol 44: 1501-1510. (Pubitemid 41694291)
108. Oldeman L (1990) An agroclimatic characterization of Madagascar. Available: http://scholar.google.com/scholar?hl=en&btnG=Search&q= intitle:an+agroclimatic+characterization+of+madagascar#0. Accessed 2013 Nov 19.