Introduction: Software and Databases. Software. QGIS -- ArcGIS -- SavGIS -- R -- GeoDA -- SaTScanTM -- GWR4 -- Gama -- Data for the examples -- 1. Methodological Context. A systemic approach to health; Risk and public health; Epidemiology; Health geography; Spatial analysis for epidemiology and health geography; Geographic information systems; Book structure; 2. Spatial Analysis of Health Phenomena: General Principles. Spatial analysis in epidemiology and health geography -- Spatial distribution of a health phenomenon -- Spatial analysis in epidemiology -- Spatial and statistical dependence -- Causal relationships, explanatory factors, confounding factors -- Uncertainty in event localization -- Health data are often aggregated into geographical units -- Spatial analysis terminology and formalism -- General approach of spatial analysis in epidemiology -- Required knowledge on epidemiology and statistics -- 3. Spatial Data in Health. Introduction -- Health data -- Spatialization of epidemiological data -- Sources of data -- 4. Cartographic Representations and Synthesis Tools. Introduction -- Why use mapping methods? -- How to use mapping? -- Cartographic representations -- Descriptive statistics and visual synthesis tools -- Interpolations and trend surfaces -- Spatio-temporal animations -- 5. Spatial distribution analysis. "Direct" methods for spatial analysis ; Continuous space point pattern, subset ; Global spatial analyses ; Example: emergence and diffusion of avian influenza -- 6. Spatial analysis of risk. Aggregation-based spatial analyses ; Statistical modeling of spatial data ; An example: analysis of tuberculosis risk factors -- 7. Space-time analyses and modeling. Time-distance relationships ; Mobile mean points ; Spatio-temporal autocorrelation and clusters ; Emergence diffusion, pathway ; Spatio-temporal modeling of health phenomena.