Making Spatial Analysis Operational: Commands for Generating Spatial-effect Variables in Monadic and Dyadic Data

Spatial Effects in Dyadic Data

Political units often spatially depend in their political choices on other units. This is no less so in dyadic settings where, as in much of international relations research, the focus of the analysis is the pair or dyad of two political units. Yet, with few exceptions social scientists have analyzed contagion only in monadic datasets, consisting of individual political units. This article expl...

Bayesian Prediction in Spatial Data Analysis

Determination of Optimal Sampling Design for Spatial Data Analysis

Extended Abstract. Inferences for spatial data are affected substantially by the spatial configuration of the network of sites where measurements are taken. Consider the following standard data-model framework for spatial data. Suppose a continuous, spatially-varying quantity, Z, is to be observed at a predetermined number, n, of points ....[ To Countinue Click here]

Investigating Spatial Language for Robot Fetch Commands

This paper outlines a study that investigates spatial language for use in human-robot communication. The scenario studied is a home setting in which the elderly resident has misplaced an object, such as eyeglasses, and the robot will help the resident find the object. We present results from phase I of the study in which we investigate spatial language generated to a human addressee or a robot ...

Spatial zoning and spatial analysis of urban poverty using spatial analysis (Case study: Mashhad city)

Spatial Zoning and Analysis of Urban Poverty via Spatial Analysis (Case Study: Mashhad City)   Abstract Examining the degree of poverty in every community is the first step taken towards planning for fighting against poverty and deprivation. With understanding the poverty change process over time, planners can make the necessary decisions. The present study aims to investigate the spatial z...