Out-of-core Multiresolution Terrain Modeling

EVALUATION OF VEHICLE MOBILITY THROUGH UAS PHOTOGRAMMETRY AND DIGITAL TERRAIN MODELING WITH HIGH RESOLUTION DATASETS

10.1130/abs/2019am-341291 ◽

2019 ◽

Author(s):

Evan J. Hartshorn ◽

◽

Eric V. McDonald ◽

David Page ◽

Donald Edwin Sabol ◽

...

Keyword(s):

High Resolution ◽

Terrain Modeling ◽

Digital Terrain ◽

Vehicle Mobility ◽

Digital Terrain Modeling

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The role of terrain modeling in lunar rover simulation

SIMULATION ◽

10.1177/003754979306100107 ◽

1993 ◽

Vol 61 (1) ◽

pp. 60-68

Author(s):

Niranjan S. Rao ◽

Matthew H. Appleby

Keyword(s):

Terrain Modeling ◽

Lunar Rover

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Assessing the Differential Impact of Vacancy on Criminal Violence in the City of St. Louis, MO

Criminal Justice Review ◽

10.1177/0734016821996795 ◽

2021 ◽

pp. 073401682199679

Author(s):

Branson Fox ◽

Anne Trolard ◽

Mason Simmons ◽

Jessica E. Meyers ◽

Matt Vogel

Keyword(s):

Violent Crime ◽

Situational Crime Prevention ◽

Empirical Literature ◽

Terrain Modeling ◽

Criminal Violence ◽

Aggravated Assault ◽

Environmental Correlates ◽

Risk Terrain Modeling ◽

The City ◽

North And South

This study employs risk terrain modeling to identify the spatial correlates of aggravated assault and homicide in St. Louis, MO. We build upon the empirical literature by (1) replicating recent research examining the role of vacancy in the concentration of criminal violence and (2) examining whether the environmental correlates of violence vary between north and south St. Louis, a boundary that has long divided the city along racial and socioeconomic lines. Our results indicate that vacancy presents a strong, consistent risk for both homicide and aggravated assault and that this pattern emerges most clearly in the northern part of the city which is majority African American and has suffered chronic disinvestment. The concentration of criminal violence in South City is driven primarily by public hubs including housing, transportation, and schools. Our results underscore the importance of vacancy as a driver of the spatial concentration of violent crime and point to potential heterogeneity in risk terrain modeling results when applied to large metropolitan areas. Situational crime prevention strategies would be well served to consider such spatial contingencies as the risk factors driving violent crime are neither uniformly distributed across space nor uniform in their impact on criminal violence.

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