Redirigiendo al acceso original de articulo en 19 segundos...
ARTÍCULO
TITULO

Geospatial XAI: A Review

Cédric Roussel and Klaus Böhm    

Resumen

Explainable Artificial Intelligence (XAI) has the potential to open up black-box machine learning models. XAI can be used to optimize machine learning models, to search for scientific findings, or to improve the understandability of the AI system for the end users. Geospatial XAI refers to AI systems that apply XAI techniques to geospatial data. Geospatial data are associated with geographical locations or areas and can be displayed on maps. This paper provides an overview of the state-of-the-art in the field of geospatial XAI. A structured literature review is used to present and discuss the findings on the main objectives, the implemented machine learning models, and the used XAI techniques. The results show that research has focused either on using XAI in geospatial use cases to improve model quality or on scientific discovery. Geospatial XAI has been used less for improving understandability for end users. The used techniques to communicate the AI analysis results or AI findings to users show that there is still a gap between the used XAI technique and the appropriate visualization method in the case of geospatial data.

 Artículos similares

       
 
Andreas Tsatsaris, Kleomenis Kalogeropoulos, Nikolaos Stathopoulos, Panagiota Louka, Konstantinos Tsanakas, Demetrios E. Tsesmelis, Vassilios Krassanakis, George P. Petropoulos, Vasilis Pappas and Christos Chalkias    
Human activities and climate change constitute the contemporary catalyst for natural processes and their impacts, i.e., geo-environmental hazards. Globally, natural catastrophic phenomena and hazards, such as drought, soil erosion, quantitative and quali... ver más

 
Jinwoo Park and Daniel W. Goldberg    
Spatial accessibility provides significant policy implications, describing the spatial disparity of access and supporting the decision-making process for placing additional infrastructure at adequate locations. Several previous reviews have covered spati... ver más

 
Vineet Chaturvedi and Walter T. de Vries    
Urbanization is persistent globally and has increasingly significant spatial and environmental consequences. It is especially challenging in developing countries due to the increasing pressure on the limited resources, and damage to the bio-physical envi... ver más
Revista: Urban Science

 
Gloria Bordogna, Cristiano Fugazza, Paolo Tagliolato Acquaviva d?Aragona and Paola Carrara    
Distinct, alternative forms of geosemantics, whose classification is often ill-defined, emerge in the management of geospatial information. This paper proposes a workflow to identify patterns in the different practices and methods dealing with geoinforma... ver más

 
EunSu Lee, Debananda Chakraborty and Melanie McDonald    
Drilling activity produces a significant amount of road traffic through unpaved and paved local roads. Because oil production is an important contributor to the local economy in the state of North Dakota, the state and local transportation agencies make ... ver más
Revista: Infrastructures