Unemployment is a serious challenge faced by developing countries such as Indonesia. These challenges involve complex factors interacting with each other and can have negative impact on social economic stability. This study focused East Java Province case in point, the aim of analyzing geographical distribution open unemployment (TPT) relationship between regions that context. Using spatial ana...

The relationship of stand top and stand mean height is important for forest growth and yield modeling, but it has not been explored for natural mixed forests. Observations of stand top and stand mean height can present spatial dependence or autocorrelation, which should be considered in modeling. Simultaneous autoregressive (SAR) models, including spatial lag model (SLM), spatial Durbin model (...

BACKGROUND Using spatial analysis tools to determine the spatial patterns of China province-level perinatal mortality and using spatial econometric model to examine the impacts of health care resources and different socio-economic factors on perinatal mortality. METHODS The Global Moran's I index is used to examine whether the spatial autocorrelation exists in selected regions and Moran's I s...

Spatial lag dependence in a regression model is similar to the inclusion of a serially autoregressive term for the dependent variable in time-series context. However, unlike in the time series model, the implied covariance structure matrix from the spatial autoregressive model can have a very counterintuitive and improbable structure. A single value of spatial auto correlation parameter can imp...