Engaging in Areal Pattern Analysis Using Global and Local Statistics

  title={Engaging in Areal Pattern Analysis Using Global and Local Statistics},
  author={Tonny J. Oyana and Florence M. Margai},
  journal={Spatial Analysis with R},



Searching for the Elusive Aggregation Effect: Evidence from Statistical Simulations

The past few years have seen a resurging interest in the modifiable areal unit problem, or aggregation effects. The new evidence, however, both supports and conflicts with previous work. This paper

An Information Statistical Approach to the Modifiable Areal Unit Problem in Incidence Rate Maps

A new methodology to select appropriate areal units using the Akaike information criterion and two search methods for an informative geographical aggregation in map construction is proposed.

Do spatial effects really matter in regression analysis

ABSTRACT A substantial hotly of applied statistical and econometric analysis in regional science and geography deals with data collected for aggregate spatial units of observation. These data are

Local Indicators of Spatial Association—LISA

The capabilities for visualization, rapid data retrieval, and manipulation in geographic information systems (GIS) have created the need for new techniques of exploratory data analysis that focus on

Local Spatial Autocorrelation Statistics: Distributional Issues and an Application

The statistics Gi(d) and Gi*(d), introduced in Getis and Ord (1992) for the study of local pattern in spatial data, are extended and their properties further explored. In particular, nonbinary

Geographic Analysis of Health Risks of Pediatric Lead Exposure: A Golden Opportunity to Promote Healthy Neighborhoods

The results showed a significant decline of elevated BLLs, with levels measured at ≥ 10 μg/dL decreasing by 74%, compared with a 40% decrease for the lower levels, and suggestions for the urgent task of developing healthy neighborhoods.

Local statistical spatial analysis: Inventory and prospect

The concept of local spatial statistical analysis (LoSSA) is proposed both as an integrative structure for existing methods and as a framework that facilitates the development of new local and global statistics.

Spatial Patterns and Health Disparities in Pediatric Lead Exposure in Chicago: Characteristics and Profiles of High-Risk Neighborhoods

Analysis of childhood lead prevalence across Chicago and the socioeconomic and racial composition of high-risk communities provided insights into the complex geographies of lead exposure and could serve as a basis for developing more targeted health intervention programs.

Notes on continuous stochastic phenomena.

Two problems arising in the two and three-dimensional cases of stochastic phenomena which are distributed in space of two or more dimensions are considered.