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Association for Computing Machinery

Articles Tagged: Spatial-temporal systems

Articles & Features

SECTION: Features

Data for Whom, Data from Whom: How Social Movements Might Create Value for Their Community Data Practices

Belief in the power of data-driven decision-making has expanded from corporate environments to include all sectors of society, including social justice efforts. The problem with this newfound trust in "data" is that it can be hard to agree upon what exactly data are, recognize when they are useful, what they are useful for, and whose data should be valued as worthy of informing decisions.

By Tajanae Harris, June 2024

PDF | HTML | In the Digital Library

Unveiling Patterns of the Earth through Machine Learning and Geospatial Analysis

Konstantin Klemmer is a researcher at Microsoft Research New England, where he works on the representation of geospatial phenomena in machine learning methods.

By Jiayi Li, Konstantin Klemmer, May 2024

PDF | HTML | In the Digital Library

From Geospatial to Spatial -Omics

When Los Angeles is mentioned, cycling is usually not the first thing that comes to mind. However, during my past 10 years in LA studying molecular biology and bioinformatics, my bike trips through the geographical space of LA have inspired many ideas in my research in spatial data analysis in bioinformatics. I have written software to bring decades of research in geospatial data analysis to spatial -omics, as my trips make me ponder on spatial phenomena in general.

By Lambda Moses, February 2024

PDF | HTML | In the Digital Library

Non-IID spatio-temporal prediction in smart cities

Non-IID spatio-temporal prediction research points toward emerging directions and fundamental solutions to address various complexities from the perspective of both data couplings and heterogeneity. Delving into the non-IID challenge and opportunity of spatio-temporal prediction in smart cities, this article also addresses current solutions to bring some inspiration to future researchers.

By Siyuan Ren, Bin Guo, Qinfen Wang, Zhiwen Yu, April 2022

PDF | HTML | In the Digital Library

Past, present, and past as present in India's predictive policing

In India, law enforcement's use of big data to thwart crime has instead amplified the discriminatory presence of caste, religion, gender, and other social markers within a system that is supposedly objective and neutral.

By Shivangi Narayan, December 2020

PDF | HTML | In the Digital Library

The Centre for Advanced Spatial Analysis at University College London, London, UK