Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of...

Measuring the socioeconomic value of data and information products derived from earth observations and other geospatial data / Jason Gallo, Richard Bernknopf and Steven Lev -- From data to knowledge : an introduction / Joep Crompvoets, Francoise Pearlman and Jay Pearlman -- Satellite and remote...

In this study, I investigate the necessary condition for the consistency of the maximum likelihood estimator (MLE) of spatial models with a spatial moving average process in the disturbance term. I show that the MLE of spatial autoregressive and spatial moving average parameters is generally...

In this paper we provide a brief overview of some of the most recent empirical research on spatial econometric models and spatial data mining. Data mining in general is the search for hidden patterns that may exist in large databases. Spatial data mining is a process to discover interesting,...