Geospatial xai: A review
… This review found that geospatial XAI is currently less used for end users, rather than for
model improvement. This also results in fewer evaluations of the effectiveness of the …
model improvement. This also results in fewer evaluations of the effectiveness of the …
[PDF][PDF] Challenges of Using XAI for Geographic Data Analytics
J Xing, R Sieber - … , Models, and Resources for Geospatial …, 2021 - researchgate.net
… Explaining deep neural networks and beyond: A review of methods and 202 applications. …
A land use/land cover change geospatial cyberinfrastructure to 208 integrate big data and …
A land use/land cover change geospatial cyberinfrastructure to 208 integrate big data and …
Explainable spatially explicit geospatial artificial intelligence in urban analytics
… In this paper we also set out a path for developing XAI in future urban studies. … This article
is not intended to provide a detailed literature review of GCN-based applications in urban …
is not intended to provide a detailed literature review of GCN-based applications in urban …
The challenges of integrating explainable artificial intelligence into GeoAI
J Xing, R Sieber - Transactions in GIS, 2023 - Wiley Online Library
… there are challenges in applying XAI to geospatial artificial intelligence (GeoAI), specifically
… and ethical aspects in XAI. First, we review literature related to the use of XAI in geographic …
… and ethical aspects in XAI. First, we review literature related to the use of XAI in geographic …
[HTML][HTML] A new method to evaluate gold mineralisation-potential mapping using deep learning and an explainable artificial intelligence (XAI) model
B Pradhan, R Jena, D Talukdar, M Mohanty, BK Sahu… - Remote Sensing, 2022 - mdpi.com
… Such surveys result in integrating multisource geospatial data that is stored as maps in a …
exploring geospatial data in a wide range and analysing layers with several geospatial models. …
exploring geospatial data in a wide range and analysing layers with several geospatial models. …
Towards Responsible Urban Geospatial AI: Insights From the White and Grey Literatures
… The responsible implementation of AI technologies for urban planning and other geospatial
studies has gained increased attention, with 53% of the articles reviewed for this study being …
studies has gained increased attention, with 53% of the articles reviewed for this study being …
Introduction to geospatial artificial intelligence (GeoAI)
… This chapter reviews GeoAI for spatial prediction and … in solving geospatial problems, gives
an overview of established XAI … Moreover, the chapter highlights the benefits of applying XAI …
an overview of established XAI … Moreover, the chapter highlights the benefits of applying XAI …
Integrating XAI and GeoAI
J Xing, R Sieber - 2021 - escholarship.org
… Most review works in XAI treat scale as an issue of quality (ie, of the explanations for a 90 …
for geospatial information scientists. (2) Current XAI can be 167 incompatible with geospatial …
for geospatial information scientists. (2) Current XAI can be 167 incompatible with geospatial …
Visualization of explainable artificial intelligence for GeoAI
C Roussel - Frontiers in Computer Science, 2024 - frontiersin.org
… According to the review study for geospatial XAI (Roussel and Böhm, 2023), and to our …
Studies that utilize geospatial data and XAI still rely on conventional SHAP plots, such as …
Studies that utilize geospatial data and XAI still rely on conventional SHAP plots, such as …
Global spatial suitability mapping of wind and solar systems using an explainable ai-based approach
… The specific objectives were to (i) establish a hybrid XAI-GIS … based on an extensive review
of publications that addressed the … specific in classifying the geospatial dataset of wind farms …
of publications that addressed the … specific in classifying the geospatial dataset of wind farms …