What We Do

SpaceTimeWorks, LLC and our collaborators is the team that first and earliest developed space-time statistics methodologies and software. We carry a lengthy expertise in space-time studies that spans back more than 20 years.

In this section you can explore in more depth the research, analytical methodologies, and featured studies of SpaceTimeWorks and its collaborators. Our analytical approach has been extensively used to-date, and there is significant volume of literature where you can seek more information, and examine published work. The unique features of our techniques are implemented by open source software that we use and further develop.


A Market Focus of High Interest

Our research examines the evolution of processes that take place in space and time. Compared to traditional spatial analysis, space-time (or spatiotemporal) analysis is an increasingly thriving field of research and business interest. There is obvious interest in this analysis by disciplines that focus on such processes, in addition to disciplines that offer related tools like statistics, geostatistics, geographic information science (GIS), mathematics and basic sciences. One can trace the roots of the space-time analysis growing popularity in two specific reasons, as examined in the following.

First, it is our desire to understand and harness an abundance of natural processes where attributes and phenomena evolve as much across locations as in continuing sequences. For example, pollutant dispersion is monitored to minimize adverse effects on human or environments of interest; disease spread is studied with time across areas to gain insight in its characteristics and protect public health; energy resources are tracked so that we harvest them efficiently. The scientific study of such attributes in both space and time optimizes our understanding of them, contributes to correct interpretation of the underlying physical processes, and leads to better-informed decisions.

A second reason is the rise of the data-driven environments, as we experience an ever-increasing production and availability of monitored data and observations. The progress of technology has rendered feasible to monitor processes in detail as they occur in space-time. Growing numbers of monitoring devices produce observations at a constantly increasing rate, and storing these data leads to formidable amounts of unprocessed information. In this relatively new environment of abundant input, there is plausible interest in handling measurements to extract useful statements about processes. In parallel, there is also a necessity for continuous development of methodologies and improvement of tools to ensure this processing is both scientifically correct and efficient.


Where SpaceTimeWorks Stands

In this setting, SpaceTimeWorks places itself as a strong contender with an edge in its analytical foundation of advanced stochastic methodologies. Our selected tools and techniques handle your attributes and processes in a manner that distinguishes itself unlike any other common analytical approaches because
(a) it functions in a framework that accounts rigorously for spatiotemporal input, hard or uncertain data, and is free of structural limitations and restricting assumptions that can limit the scope of your analysis
(b) it can incorporate an extended range of available related knowledge beyond your observed data, such as applicable laws, principles, and model-driven information

Understanding a process enables us to predict attribute behavior in space and time, and to provide answers to scientific questions. Explore in more detail the premises of our research and analytical methodologies on the corresponding pages under the present section.

In SpaceTimeWorks we also develop open-source numerical tools to implement related techniques, build solutions to help you in your research, and illustrate your analysis in maps and GIS. This software comes from advanced versions of the first systematic space-time statistics software ever produced. The fundamentals behind our tools have been in use and tested in numerous projects across disciplines for nearly two decades, and have led to the development of advanced GIS and temporal-GIS functions. As a testimony, we include in this section a set of featured studies in our key areas of expertise, and a lengthy catalog of books and peer-reviewed publications by our collaborators.

We look forward to putting the SpaceTimeWorks expertise work for your projects, too.

Space-Time Imaging