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remote sensing and spatial interpolation of climate. Tropical Medicine & International Health 4, 58–71. Hay, S.I., Packer, M.J. and Rogers, D.J. (1997). The impact of remote sensing on the study and control of invertebrate intermediate hosts and vectors for disease. International Journal of Remote Sensing 18, 2899–2930. Hay, S.I., Randol ph, S.E. and Rogers, D.J., (eds), (2000). Remote Sensing and Geographical Information Systems in Epidemiology. Advances in Par- asitology 47. Hay, S.I., Renshaw, M., Ochola, S.A. , Noor, A.M. and Snow, R.W. (2003a). Performance of forecasting, warning and detection of malaria epidemics in the highlands of western Kenya. Trends in Parasitology 19, 394–399. Hay, S.I., Snow, R.W. and Rogers, D.J. (1998). From predicting mosquito habitat to malaria seasons using remotely sensed data: practice, problems and perspectives. Parasitology Today 14, 306–313. Hay, S.I., Tucker, C.J., Rogers, D.J. and Packer, M.J. (1996). Remotely sensed surrogates of meteorological data for the study of the distribution and abundance of arthropod vectors of disease. Annals of Tropical Med- icine and Parasitology 90, 1–19. Hay, S.I., Were, E.C., Renshaw, M., Noor, A.M., Ochola, S.A., Olusanmi, L., Alipui, N. and Snow, R.W. (2003b). Forecasting, warn- ing, and detection of mala ria epidemics: a case study. Lancet 361, 1705–1706. Holben, B.N. (1986). Characteristics of maxi mum-value composite images from temporal AVHRR data. International Journal of Remote Sensing 7, 1417–1434. James, M.E., Kalluri, S.N.V. and Townshend, J.R.G. (1994). The Path- finder AVHRR land data set: an improved coarse resolution data set for terrestrial monitoring. International Journal of Remote Sensing 15, 3347–3363. Justice, C.O., Markham, B.L., Townshend, J.R.G. and Kennard, R.L. (1989). Spatial degradation of satel lite data. International Journal of Re- mote Sensing 10, 1539–1561. Justice, C.O., Townshend, J.R.G., Vermote, E.F., Masuoka, E., Wolfe, R.E., Saleous, N., Roy, D.P. and Morisette, J.T. (2002). An overview of MODIS Land data processing and product status. Remote Sensing of Environment 83 , 3–15. Kidwell, K.B. (1998). NOAA Polar Orbiter Data User’s Guide. Washington DC: US Department of Commerce, NESDIS, NOAA, National Climate Data Center, Satellite Data Service Division. Lambin, E.F. and Ehrlich, D. (1996). The surface temperature-vegetation index space for land cover and land-cover changes analysis. International Journal of Remote Sensing 17, 463–487. GLOBAL ENVIRONMENTAL DATA 73 Issues of Scale and Uncertainty in the Global Remote Sensing of Disease P.M. Atkinson 1 and A.J. Graham 2 1 School of Geography, Uni versity of Southampton, Highfield, Southampton SO17 1BJ, UK 2 TALA Research Group, Tinbergen Building, Department of Zoology, University of Oxford, South Parks Road , Oxford OX1 3PS, UK Abstract 80 1. Introduction . . 80 1.1. Indirect Relations . 81 1.2. Sensor Characteristics 82 1.3. Choice of Modelling Framework 84 1.4. The Image Processing Chain. 85 2. Issues of Scale and Spatial Resolution 86 2.1. Preliminaries 86 2.2. Measurement Scales 88 2.3. Scale(s) of Spatial Variation . 90 3. Issues of Uncertainty . . 96 3.1. Preliminaries 96 3.2. Uncertainty in Data and Methods 97 3.3. Data-Based Accuracy Assessment 99 3.4. Model-Based Accuracy Assessment . . . 103 3.5. Validation of Global Disease Maps: Some Considerations . . . 105 3.6. Satellite Sensor Datasets Used in this Volume. . . 106 4. Summary . . . 107 Acknowledgements . . . 108 References . . 108 ADVANCES IN PARASITOLOGY VOL 62 ISSN: 0065-308X $35.00 DOI: 10.1016/S0065-308X(05)62003-9 Copyright r 2006 Elsevier Ltd. All rights of reproduction in any form reserved . . 90 3. Issues of Uncertainty . . 96 3. 1. Preliminaries 96 3. 2. Uncertainty in Data and Methods 97 3. 3. Data-Based Accuracy Assessment 99 3. 4. Model-Based Accuracy Assessment . . . 1 03 3.5. Validation. for terrestrial monitoring. International Journal of Remote Sensing 15, 33 47 33 63. Justice, C.O., Markham, B.L., Townshend, J.R.G. and Kennard, R.L. (1989). Spatial degradation of satel lite data. International. 4 63 487. GLOBAL ENVIRONMENTAL DATA 73 Issues of Scale and Uncertainty in the Global Remote Sensing of Disease P.M. Atkinson 1 and A.J. Graham 2 1 School of Geography, Uni versity of Southampton, Highfield,

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