Results 61 to 70 of about 2,664 (166)
Enlisting AI to Mainstream Ethics in Spatial Data Science Education
ABSTRACT This article examines ethics instruction in GIS and Spatial Data Science curricula. Our point of departure is the widely endorsed recommendation of the National Academies of Sciences, Engineering and Medicine that formal ethics education be integrated throughout data science curricula.
Robert M. Myers, David DiBiase
wiley +1 more source
HELIOS: A MULTI-PURPOSE LIDAR SIMULATION FRAMEWORK FOR RESEARCH, PLANNING AND TRAINING OF LASER SCANNING OPERATIONS WITH AIRBORNE, GROUND-BASED MOBILE AND STATIONARY PLATFORMS [PDF]
In many technical domains of modern society, there is a growing demand for fast, precise and automatic acquisition of digital 3D models of a wide variety of physical objects and environments.
S. Bechtold, B. Höfle
doaj +1 more source
Runnability correlates: Results of environmental scans in Vancouver
Abstract As recreational running grows in popularity, the concepts of runnability and runnable cities have emerged as important dimensions of urban livability. This study examined the environmental characteristics of Vancouver's most popular running routes to determine what makes a city runnable.
Ashley D. Tegart +3 more
wiley +1 more source
Large-scale mapping activities can benefit from the vastly increasing availability of earth observation (EO) data, especially when combined with volunteered geographical information (VGI) using machine learning (ML).
Hao Li +6 more
doaj +1 more source
ABSTRACT Climate change is intensifying the frequency and impact of extreme weather events, particularly in vulnerable Mediterranean environments. This study investigates relative morphometric changes within a gully system in the Guadalmedina River basin (Málaga, southern Spain) triggered by the 2024 DANA (Depresión Aislada en Niveles Altos), a high ...
Jesús Rodrigo‐Comino +4 more
wiley +1 more source
Replications as Project‐Based Learning in Geographic Information Science
ABSTRACT The curricular models used to teach GIScience may leave students underprepared to independently address real‐world problems. Scholars have identified an overreliance on step‐by‐step tutorials as a key issue and have called for changes in curriculum design.
Peter Kedron +2 more
wiley +1 more source
Investigating Schema-Free Encoding of Categorical Data Using Prime Numbers in a Geospatial Context
Prime numbers are routinely used in a variety of applications, e.g., cryptography and hashing. A prime number can only be divided by one and the number itself.
Martin Sudmanns
doaj +1 more source
How well do we really know the world? Uncertainty in GIScience
There are many reasons why geospatial data are not geography, but merely representations of it. Thus geospatial data will always leave their user uncertain about the true nature of the world.
Michael F. Goodchild
doaj +1 more source
ABSTRACT The Southern Resident killer whales (SRKW) are an endangered species that occupy marine environments on the west coast of North America, including the Salish Sea. Representing marine species in this environment can be achieved by multidimensional space–time simulation modeling that provides more information about locations and behaviors for ...
Alex K. Smith, Suzana Dragićević
wiley +1 more source
Modeling and Analyzing Urban Networks and Amenities With OSMnx
ABSTRACT OSMnx is a Python package for downloading, modeling, analyzing, and visualizing urban networks and any other geospatial features from OpenStreetMap data. A large and growing body of literature uses it to conduct scientific studies across the disciplines of geography, urban planning, transport engineering, computer science, and others.
Geoff Boeing
wiley +1 more source

