Spatial Regression Analysis Using Eigenvector Spatial Filtering provides theoretical foundations and guides practical implementation of the Moran eigenvector spatial filtering (MESF) technique. MESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in their georeferenced data analyses. Its appeal is in its simplicity, yet its implementation drawbacks include serious complexities associated with constructing an eigenvector spatial filter.

This book discusses MESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, space-time models, and spatial interaction models. Spatial Regression Analysis Using Eigenvector Spatial Filtering is accompanied by sample R codes and a Windows application with illustrative datasets so that readers can replicate the examples in the book and apply the methodology to their own application projects. It also includes a Foreword by Pierre Legendre.

Taking a front-line view, The Conflict Survival Kit: Tools for Resolving Conflict at Workfocuses on topics supervisors, team leads and managers need to know to address conflict in organizations. Each chapter succinctly explains conflict theories, frameworks and models, while focusing on important interpersonal and management skills. This classroom text and on-the-job guide presents strategies that can be used immediately in the workplace and provides hands-on practice throughout. Fully updated in this edition, it includes a new section on cultural communication differences, more on mediation, strategies for staying calm during confrontation and a section on managing bullying in the workplace.

Spatial Regression Analysis Using Eigenvector Spatial Filtering provides theoretical foundations and guides practical implementation of the Moran eigenvector spatial filtering (MESF) technique. MESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in their georeferenced data analyses. Its appeal is in its simplicity, yet its implementation drawbacks include serious complexities associated with constructing an eigenvector spatial filter.

This book discusses MESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, space-time models, and spatial interaction models. Spatial Regression Analysis Using Eigenvector Spatial Filtering is accompanied by sample R codes and a Windows application with illustrative datasets so that readers can replicate the examples in the book and apply the methodology to their own application projects. It also includes a Foreword by Pierre Legendre.

Taking a front-line view, The Conflict Survival Kit: Tools for Resolving Conflict at Workfocuses on topics supervisors, team leads and managers need to know to address conflict in organizations. Each chapter succinctly explains conflict theories, frameworks and models, while focusing on important interpersonal and management skills. This classroom text and on-the-job guide presents strategies that can be used immediately in the workplace and provides hands-on practice throughout. Fully updated in this edition, it includes a new section on cultural communication differences, more on mediation, strategies for staying calm during confrontation and a section on managing bullying in the workplace.