Making the political aspect of Lefebvre's work available in English for the first time, this book contains essays on philosophy, political theory, state formation, spatial planning, and globalization, as well as provocative reflections on the possibilities and limits of grassroots democracy under advanced capitalism.

This groundbreaking, interdisciplinary volume brings together diverse analyses of state space in historical and contemporary capitalism. The first volume to present an accessible yet challenging overview of the changing geographies of state power under capitalism. A unique, interdisciplinary collection of contributions by major theorists and analysts of state spatial restructuring in the current era. Investigates some of the new political spaces that are emerging under contemporary conditions of ‘globalization'. Explores state restructuring on multiple spatial scales, and from a range of theoretical, methodological and empirical perspectives. Covers a range of topical issues in contemporary geographical political economy. Contains case study material on Western Europe, North America and East Asia, as well as parts of Africa and South America.

The book blends readability and accessibility common to undergraduate control systems texts with the mathematical rigor necessary to form a solid theoretical foundation. Appendices cover linear algebra and provide a Matlab overivew and files. The reviewers pointed out that this is an ambitious project but one that will pay off because of the lack of good up-to-date textbooks in the area.

Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly. You’ll get the guidance you need to confidently: Find and wrangle time series data Undertake exploratory time series data analysis Store temporal data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine or deep learning Evaluate accuracy and performance

Spatial Ecologies asks why French cultural and critical theory since 1968 has turned from investigating questions of time to examining space. Verena Conley ranges over the work of Henri Lefebvre, Michel de Certeau, Jean Baudrillard, Marc Auge, Paul Virilio, Bruno Latour, and Etienne Balibar to analyze how they reconsidered the experience of space in the midst of political and economic turmoil and to find out what writing about space can tell us about life in late capitalism. Conley links this question to Heidegger's concept of habitality and shows how this concept of space informs much of French theory.

Simultaneously analysing the restructuring of urban governance and the transformation of national states under globalising capitalism, 'New State Spaces' is a mature analysis of broad interdisciplinary interest.