Title Page -- Contents -- Preface -- Introduction -- I. Approaches to Data Integration -- A Review of Geostatistical Approaches to Data Fusion -- On Stochastic Inverse Modeling -- II. Data Integration for Property Characterization -- A Comparison of the Use of Radar Images and Neutron Probe Data to Determine the Horizontal Correlation Length of Water Content -- Integrating Statistical Rock Physics and Sedimentology for Quantitative Seismic Interpretation -- A Geostatistical Approach to Integrating Data From Multiple and Diverse Sources: An Application to the Integration of Well Data, -- A Geostatistical Data Assimilation Approach for Estimating Groundwater Plume Distributions From Multiple Monitoring Events -- A Bayesian Approach for Combining Thermal and Hydraulic Data -- Fusion of Active and Passive Hydrologic and Geophysical Tomographic Surveys: The Future of Subsurface Characterization -- III. Data Integration to Understand Hydrologic Processes -- Evaluating Temporal and Spatial Variations in Recharge and Streamflow Using the Integrated Landscape Hydrology Model (ILHM) -- Integrating Geophysical, Hydrochemical, and Hydrologic Data to Understand the Freshwater Resources on Nantucket Island, Massachusetts -- Integrating Hydrologic and Geophysical Data to Constrain Coastal SurficialAquifer Processes at Multiple Spatial and Temporal Scales -- Examining Watershed Processes Using Spectral Analysis Methods Including the Scaled- Windowed Fourier Transform -- Integrated Multi-Scale Characterization of Ground-Water Flow and Chemical Transport in Fractured Crystalline Rock at the Mirror -- IV. Meta Analysis -- Accounting for Tomographic Resolution in Estimating Hydrologic Properties from Geophysical Data -- A Probabilistic Perspective on Nonlinear Model Inversion and Data Assimilation.