Results 131 to 140 of about 33,443 (302)
Is the rent too high? Land ownership and monopoly power
Real Estate Economics, EarlyView.Abstract Pricing power in real estate markets can reduce housing supply and redevelopment relative to the social optimum. We show how pricing power interacts with popular redevelopment subsidies and zoning regulations. Using building‐level rental income data from NYC, we find that increased concentration is correlated with increased rents.
C. Luke Watson, Oren Ziv
wiley +1 more source
Criminology, EarlyView.Abstract Research on how delinquent peer associations affect individuals’ life courses is limited. This paper addresses this gap by examining delinquent peer network characteristics and their impact on offending trajectories through social network analysis (SNA) and group‐based trajectory modeling (GBTM).
Daniel Trovato
wiley +1 more source
Animal Conservation, EarlyView.Reliable estimates of species distributions are crucial for understanding their conservation needs. Yet for many species, IUCN largely relies on expert‐drawn ranges, which are often inaccurate. Focusing on shieldtail snakes in peninsular India, we combined citizen science, literature, field, and museum records to create improved distribution maps for ...
Anuj Shinde +3 more
wiley +1 more source
Archaeometry, EarlyView.ABSTRACT The discovery of archaeological sites traditionally entails the utilisation of physically demanding exploration methodologies, including terrain surveying and the analysis of historical records. Recent technological developments have led to an increased use of non‐invasive remote sensing techniques, including Google Earth, LiDAR and aerial ...
Mncedisi J. Siteleki
wiley +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
Computer Graphics Forum, EarlyView.We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier +5 more
wiley +1 more source
Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations
Computer Graphics Forum, EarlyView.Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton +2 more
wiley +1 more source
Mesh Processing Non‐Meshes via Neural Displacement Fields
Computer Graphics Forum, EarlyView.Abstract Mesh processing pipelines are mature, but adapting them to newer non‐mesh surface representations—which enable fast rendering with compact file size—requires costly meshing or transmitting bulky meshes, negating their core benefits for streaming applications.
Yuta Noma +4 more
wiley +1 more source
LeafFit: Plant Assets Creation from 3D Gaussian Splatting
Computer Graphics Forum, EarlyView.Abstract We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage, its high memory footprint and lack of mesh topology make it incompatible with traditional game production workflows. We address this by leveraging the repetition of
Chang Luo, Nobuyuki Umetani
wiley +1 more source
VQ‐Style: Disentangling Style and Content in Motion with Residual Quantized Representations
Computer Graphics Forum, EarlyView.Abstract Human motion data is inherently rich and complex, containing both semantic content and subtle stylistic features that are challenging to model. We propose a novel method for effective disentanglement of the style and content in human motion data to facilitate style transfer.
Fatemeh Zargarbashi +5 more
wiley +1 more source