Generative Adversarial Networks in the built environment: A comprehensive review of the application of GANs across data types and scales
Abstract Generative Adversarial Networks (GANs) are a type of deep neural network that
have achieved many state-of-the-art results for generative tasks. GANs can be useful in the …
have achieved many state-of-the-art results for generative tasks. GANs can be useful in the …
The politics of pixels: A review and agenda for critical remote sensing
MM Bennett, JK Chen… - Progress in Human …, 2022 - journals.sagepub.com
We offer a review and research agenda for critical remote sensing, defined as inquiries and
scientific practices cognizant of the embedding of power within the production, analysis, and …
scientific practices cognizant of the embedding of power within the production, analysis, and …
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …
sustainable development by harnessing the power of cross-domain data fusion from diverse …
Accelerating ethics, empathy, and equity in geographic information science
TA Nelson, MF Goodchild… - Proceedings of the …, 2022 - National Acad Sciences
Science has traditionally been driven by curiosity and followed one goal: the pursuit of truth
and the advancement of knowledge. Recently, ethics, empathy, and equity, which we term …
and the advancement of knowledge. Recently, ethics, empathy, and equity, which we term …
GANmapper: geographical data translation
We present a new method to create spatial data using a generative adversarial network
(GAN). Our contribution uses coarse and widely available geospatial data to create maps of …
(GAN). Our contribution uses coarse and widely available geospatial data to create maps of …
Exploring the limitations in how ChatGPT introduces environmental justice issues in the United States: A case study of 3,108 counties
The potential of Generative AI, such as ChatGPT, has sparked discussions among
researchers and the public. This study empirically explores the capabilities and limitations of …
researchers and the public. This study empirically explores the capabilities and limitations of …
Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics
The past decade has witnessed the rapid development of geospatial artificial intelligence
(GeoAI) primarily due to the ground-breaking achievements in deep learning and machine …
(GeoAI) primarily due to the ground-breaking achievements in deep learning and machine …
Deepfakes: An integrative review of the literature and an agenda for future research
PN Vasist, S Krishnan - … of the Association for Information Systems, 2022 - aisel.aisnet.org
We are witnessing a growing concern around the impact of hyper-realistic synthetic media
and its dissemination in what is widely known as" deepfakes." However, the phenomenon's …
and its dissemination in what is widely known as" deepfakes." However, the phenomenon's …
Translating street view imagery to correct perspectives to enhance bikeability and walkability studies
Street view imagery (SVI), an emerging geospatial dataset, is useful for evaluating active
transportation infrastructure, but it faces potential biases from its vehicle-based capture …
transportation infrastructure, but it faces potential biases from its vehicle-based capture …
The ethics of ai-generated maps: A study of dalle 2 and implications for cartography
The rapid advancement of artificial intelligence (AI) such as the emergence of large
language models including ChatGPT and DALLE 2 has brought both opportunities for …
language models including ChatGPT and DALLE 2 has brought both opportunities for …