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  1. 1921

    Identification of urban infrastructure objects using the remote satellite sensing of traffic flows on streets with irregular traffic by A. A. Testeshev, T. G. Babich

    Published 2021-12-01
    “…The article deals with the problems of determining the intensity of traffic flows on streets and roads with irregular traffic for the purposes of design, heavy repair, reconstruction and traffic management. …”
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    Article
  2. 1922

    Evaluation of habitat quality and determining the distribution of Wild goat (Capra aegagrus) in Roodbarak prohibited hunting region, Kelardasht, Iran by Mitra Koohestani, Saeid Naderi, Shabnam Shadloo

    Published 2022-12-01
    “…We applied environmental variables including topographic factors (altitude, slope, and aspect), climatic factors (average rainfall and average monthly temperature), anthropogenic factors (distance from villages and roads), vegetation type, and water resources to analyse the connection of the species presence with its habitat. …”
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    Article
  3. 1923

    Identifying anthropogenic and fixed influencing factors of shrub encroachment in Cypress Upland, Canada by Irini Soubry, Larissa Robinov, Thuan Chu, Xulin Guo

    Published 2025-08-01
    “…When using topo-edaphic and anthropogenic variables in variations of generalized least squares models, a combination of distance to roads and hydrological features, high elevation, lack of haying, and certain soil moisture regimes and landscape units were connected to high shrub cover. …”
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    Article
  4. 1924

    Analyzing Urban Crime Through Street View Imagery: Insights from Urban Micro Built Environment and Perceptions by Devin Yongzhao Wu, Jue Wang

    Published 2024-12-01
    “…Our findings reveal that intersections with criminal activity tend to be related to more mobility-related features, such as roads and vehicles, and fewer natural elements, such as vegetation. …”
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    Article
  5. 1925

    Evaluation of Vegetation Bias in InSAR Time Series for Agricultural Areas Within the San Joaquin Valley, CA by Kelly R. Devlin, Rowena B. Lohman

    Published 2025-06-01
    “…We determine the temporal behavior of the phase changes associated with several key crop types by isolating the difference between the phase of pixels averaged over each agricultural field and the phase values of pixels in nearby roads and developed areas. We find that some fields are associated with a bias of ∼2–4 cm/yr of apparent subsidence, with strong seasonal variability in the degree of bias. …”
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    Article
  6. 1926

    Exploring property value effects of ferry terminals: Evidence from Brisbane, Australia by Chi-Hong (Patrick) Tsai, Corinne Mulley, Matthew Burke, Barbara Yen

    Published 2015-07-01
    “…Cross-sectional property data is used in combination with a set of neighborhood variables derived from 2011 census data, spatial feature location, and transport datasets (roads, busway and train station locations) for the city. …”
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    Article
  7. 1927

    Identifying key risk factors of polycyclic aromatic hydrocarbons and benzene exposure in Korean adult males using machine learning approaches by Haewon Byeon

    Published 2025-04-01
    “…Results: The results revealed that age, smoking, alcohol consumption, proximity to roads, and grilled food consumption were significant predictors. …”
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    Article
  8. 1928

    Willingness to Pay for Conditional Automated Driving among Segments of Potential Buyers in Europe by Frode Skjeret, Afsaneh Bjorvatn, Satu Innamaa, Esko Lehtonen, Fanny Malin, Sina Nordhoff, Tyron Louw

    Published 2023-01-01
    “…In addition, we analyzed which factors were associated with willingness to pay for different automated systems in CACs, i.e., for driving on urban roads, motorways, congested motorways, and parking areas. …”
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    Article
  9. 1929

    Distribution and Habitat Suitability of the Malabar Slender Loris (<i>Loris lydekkerianus malabaricus</i>) in the Aralam Wildlife Sanctuary, India by Smitha D. Gnanaolivu, Joseph J. Erinjery, Marco Campera, Mewa Singh

    Published 2025-04-01
    “…Precipitation of the warmest quarter, precipitation of the driest month, distance from roads, and elevation were identified as the most influential variables shaping the species’ distribution. …”
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    Article
  10. 1930

    Aquifer vulnerability assessment in data-scarce areas: a spatially explicit assessment by Changhyun Jun, Dongkyun Kim, Sayed M. Bateni, Meghdad Biyari, Ely Salwana, Farzaneh Sajedi Hosseini, Amir Mosavi, Hao-Ting Pai, Bahram Choubin

    Published 2025-12-01
    “…The most influential variables affecting groundwater quality include groundwater depth, precipitation, proximity to waterways and roads, topographic humidity, and the percentage of fine-grain material. …”
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    Article
  11. 1931

    Mesocarnivore sensitivity to natural and anthropogenic disturbance leads to declines in occurrence and concern for species persistence by Laken S. Ganoe, Amy E. Mayer, Charles Brown, Brian D. Gerber

    Published 2024-07-01
    “…., parceling of natural landcover bounded by roads, distance to roads), and climate (i.e., seasonal precipitation) and (2) compare current occurrence trends to predicted asymptotic occupancy to identify key variables contributing to distribution instability. …”
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    Article
  12. 1932
  13. 1933

    APPLICATION OF MORAN’S I STATISTICS IN SPATIAL ANALYSIS OF ARCHAEOLOGICAL SITES OF THE SARFIROUZABAD PLAIN, CENTRAL ZAGROS, IRAN by Mohsen HEYDARI DASTENAEI, Kamal Adin NIKNAMI

    Published 2024-03-01
    “…This plain is extended to the southern and southeastern parts of Mahidasht in terms of natural geography. Six natural variables as affective factors in the establishment of settlements include altitude, distance from rivers and roads, the extent and continuity of periods of the sites, and position in the plains or mountainsides being selected and have been analyzed by using statistical methods and Moran I regional area index by GIS. …”
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    Article
  14. 1934

    Spatial network characteristics and influencing factors of residential land prices under the background of coordinated development: A case study of the Wuhan metropolitan area in C... by Wenqi Li, Fengjuan Wei

    Published 2025-01-01
    “…The contributing factors, ranked by their influence, are: shopping malls > secondary roads > population > plot ratio > parks and squares > medical facilities > GDP > entertainment venues. …”
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  15. 1935

    High-Spatial Resolution Maps of PM2.5 Using Mobile Sensors on Buses: A Case Study of Teltow City, Germany, in the Suburb of Berlin, 2023 by Jean-Baptiste Renard, Günter Becker, Marc Nodorft, Ehsan Tavakoli, Leroy Thiele, Eric Poincelet, Markus Scholz, Jérémy Surcin

    Published 2024-12-01
    “…The higher values (hot spots) are detected mainly along the highways and motorways, where traffic speeds are higher compared to inner-city roads. Also, the PM2.5 mass concentrations are higher on the street than on the sidewalks. …”
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    Article
  16. 1936

    Effect of Temperature Gradient on Compressive Strength and Strain Characteristics of Coarse-Grained Frozen Soil by Jiajun Luo, Changtao Hu, Zhilong Zhang, Bingbing Lei, Jing Luo, Ao Zhang, Ge Hao

    Published 2024-01-01
    “…The temperature field beneath a roadbed is asymmetrically distributed, which causes uneven settlement, longitudinal cracking, and even sliding and collapse, as well as other diseases of frozen soil roadbeds. Most roads in alpine mountain regions are half-filled and half-excavated. …”
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    Article
  17. 1937

    Evaluating habitat use and relative abundance of Iowa's river otter with harvest data by Bridget A. Nixon, Vince Evelsizer, Robert W. Klaver

    Published 2024-09-01
    “…We found that roads, forests, larger waterways, and Ictaluridae (catfish) presence were negatively correlated with otter harvest. …”
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    Article
  18. 1938

    Vegetation Greenness Changes and Land Surface Temperatures Monitoring in the Bandung City, West Java by Himayah Shafira, Sugandi Dede

    Published 2024-01-01
    “…Types of vegetated land use, including rice fields, parks and plantations, have lower temperatures than settlements, roads, empty land and cemeteries. Positive values in the regression results indicate a correlation between the NDVI and LST variables.…”
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  19. 1939

    Rainfall patterns and land use changes on temporal flood vulnerability in Purworejo Regency, Central Java, Indonesia by Tesya Paramita Putri, Arry Retnowati, Bayu Dwi Apri Nugroho, Edwin Maulana

    Published 2025-04-01
    “…Flood vulnerability was assessed using 12 environmental variables, including elevation, slope gradient, slope direction, slope curvature, Topographic Wetness Index (TWI), flow density, distance from rivers, distance from roads, soil texture, soil aggregates, rainfall, and land use. …”
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  20. 1940

    Landscape analysis for the American crocodile Crocodylus acutus (Reptilia: Crocodilidae) in northwestern Costa Rica by Iván Sandoval-Hernández, Juan Rafael Bolaños-Montero, Mahmood Sasa-Marín, Juan Salvador Monrós-González

    Published 2022-10-01
    “…The TGW had a higher linear density of rivers and roads, and more extensive wetlands and flood zones, whereas the CP had a higher number of towns. …”
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    Article