John P Wilson

John P Wilson
University of Southern California | USC · Spatial Sciences Institute

Ph.D., Geography, University of Toronto, 1986

About

282
Publications
100,241
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8,810
Citations
Citations since 2017
73 Research Items
3919 Citations
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20172018201920202021202220230200400600800
20172018201920202021202220230200400600800

Publications

Publications (282)
Article
Cropland soil has a higher acidification risk, with the driving factors and the soil buffering capacity controlling the degree of soil acidification. However, the relative importance of the main driving factors at broad geographic scales remains unclear, and the evidence on the acid-buffering process is rarely examined by large-scale observations....
Article
Background In-utero exposure to particulate matter with aerodynamic diameter less than 2.5 μm (PM2.5) is associated with low birth weight and health risks later in life. Pregnant women are mobile and locations they spend time in contribute to their personal PM2.5 exposures. Therefore, it is important to understand how mobility and exposures encount...
Article
Cropland soils are considered to have the potential to sequester carbon (C). Warming can increase soil organic C (SOC) by enhancing primary production, but it can also cause carbon release from soils. However, the role of warming in governing cropland SOC dynamics over broad geographic scales remains poorly understood. Using over 4000 soil samples...
Article
Objective: The objective of this scoping review is to identify and describe the literature on the use of geospatial data in pediatric asthma research. Introduction: Asthma is one of the most common pediatric chronic diseases in the United States, disproportionately affecting low-income patients. Asthma exacerbations may be triggered by local env...
Article
Exposure to ambient fine particulate matter (PM2.5) air pollution is a significant driver of premature deaths. We estimate the number of cardiovascular and respiratory (CR) premature deaths attributed to long-term exposure to PM2.5 in 33 global megacities based on long-term remotely sensed observations from 2000 to 2019. Our analysis uses high-reso...
Article
American Indians and Alaska Natives (AI/AN) have the highest incidence of cleft lip and palate (orofacial clefts [OFCs]) when compared to other ethnic groups. We aim to determine the AI/AN populations’ proximity and accessibility to American Cleft Palate-Craniofacial Association accredited centers (ACPA centers) for treatment of OFCs. Our hypothesi...
Article
Background: This study characterized the prevalence, drinking patterns, and sociodemographic characteristics of U.S. adult subpopulations with distinct drinking trajectories during the COVID-19 pandemic's first 42 weeks. Methods: Adult respondents (n = 8130) in a nationally representative prospective longitudinal study completed 21 biweekly web...
Article
What little data on transgender healthcare is available often focuses on transgender people's negative experiences in accessing healthcare. However, no research has been conducted that illustrates where gender-affirming hormone therapy, one part of transgender-specific medical care, is available. Without these data, large scale research to discern...
Article
Full-text available
Particulate matter (PM2.5) is a significant public health concern in China, and the Chinese government has implemented a series of laws, policies, regulations, and standards to improve air quality. This study documents the changes in PM2.5 and evaluates the effects of industrial transformation and clean air policies on PM2.5 levels in urban and sub...
Article
Understanding of how changes in diverse human activities and climate contribute to water quality dynamics is crucial for sustainable water environment management especially in the arid and semi-arid regions. This study conducted a comprehensive estimation of the surface water quality change in the Yellow River basin during 2003–2017 and its respons...
Article
Introduction Pregnant women's daily time-activity and mobility patterns determine their environmental exposures and subsequently related health effects. Most studies ignore these and assess pregnancy exposures using static residential measures. Methods We conducted 4-day continuous geo-location monitoring in 62 pregnant Hispanic women, during preg...
Article
Full-text available
The COVID-19 pandemic has led to many deaths and economic disruptions across the world. Several studies have examined the effect of corresponding health risk factors in different places, but the problem of spatial heterogeneity has not been adequately addressed. The purpose of this paper was to explore how selected health risk factors are related t...
Article
Full-text available
Advances in measurement technology are producing increasingly time-resolved environmental exposure data. We aim to gain new insights into exposures and their potential health impacts by moving beyond simple summary statistics (e.g., means, maxima) to characterize more detailed features of high-frequency time series data. This study proposes a novel...
Article
Full-text available
PM2.5 concentrations are commonly estimated using geographically weighted regression (GWR) models, but these models may suffer from multi-collinearity and over-focus on local feature problems. To overcome these shortcomings, a self-adaptive bandwidth eigenvector spatial filtering (SA-ESF) model utilizing the golden section search (GO-ESF) and genet...
Article
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While the spatial resolution of exposure surfaces has greatly improved, our ability to locate people in space remains a limiting factor in accurate exposure assessment. In this case‐control study, two approaches to geocoding participant locations were used to study the impact of geocoding uncertainty on the estimation of ambient pesticide exposure...
Article
Given the potential importance of social environment on obesity and to better understand their causal relationship amongst children and adolescents, this scoping review systematically searches for and evaluates programs and interventions using natural experiment designs. A majority of the studies assessing peer and social norm effects reported sign...
Article
Soil Cd pollution is a serious environmental issue associated with human activities. However, the factors determining exogenous Cd dynamics in the soil profile in a complex environment are not well understood. Based on regional observations from 169 soil profiles across the Chengdu Plain, this study explored the key factors controlling Cd accumulat...
Article
As a prominent part of global and regional terrestrial carbon (C) pools, increases in forest biomass C sinks can be attributed to either forest areal expansion (FAE) or increased biomass C density (IBCD). Accurate estimates of the relative contributions of FAE and IBCD to forest C sequestration can improve our understanding of forest C cycling proc...
Preprint
Full-text available
Background: The COVID-19 pandemic has led to many deaths and economic disruptions across the world. Several studies have examined the effect of health risk factors on COVID-19 rates in different places, but the problem of spatial heterogeneity has not been adequately addressed. Methods: In this paper, we developed an Eigenvector Spatial Filtering b...
Data
The conceptual framework for the study was to examine how the Describes data and methods to illustrate how COVID-19 restrictions affected the sequence of events from population flow, vehicle emissions, Aerosol Optical Depth (AOD), Nitrogen Dioxide (NO2), Photosynthetically Active Radiation (PAR), to the impact on the Leaf Area Index (LAI) and Gross...
Article
Full-text available
High-resolution DEMs are important spatial data, and are used in a wide range of analyses and applications. However, the high cost to obtain high-resolution DEM data over a large area through sensors with higher precision poses a challenge for many geographic analysis applications. Inspired by the convolution neural network (CNN) excellent performa...
Article
Full-text available
The 2019 novel coronavirus pandemic (COVID-19) negatively affected global public health and socioeconomic development. Lockdowns and travel restrictions to contain COVID-19 resulted in reduced human activity and decreased anthropogenic emissions. However, the secondary effects of these restrictions on the biophysical environment are uncertain. Usin...
Article
Full-text available
Poor diets are historically the leading cause of morbidity and mortality in the United States (U.S.), causing over 44,000 deaths each month. Dietary patterns have likely changed during the COVID-19 pandemic due to major shifts and crises in social, economic, and food systems. This study examines perceived dietary changes in Los Angeles (L.A.) Count...
Article
Quantification of the spatial pattern of forest carbon (C) sinks in high resolution is helpful to reveal the factors that affect the C cycle and provides valuable information for developing sustainable forest management policies. Here we developed a method using the data of long-term forest inventories (1977–2018) and spatially-explicit remotely se...
Article
Full-text available
The paper proposes a flow-path-network-triangular-facet-network (FPN_TFN) method based on a flow path network (FPN) and triangular facet network (TFN) constructed from a digital elevation model (DEM) to enhance the calculation of the slope length factor (L) in the Revised Universal Soil Loss Equation (RUSLE). First, the slope length (λ) was derived...
Chapter
This chapter describes the current state-of-the-art and some of the drivers for the rapid development of digital terrain analysis and modeling over the past five decades. The chapter starts with brief descriptions of the role of digital elevation models (DEMs), scale, and terrain analysis software. The attention then shifts to the major accomplishm...
Article
Full-text available
This paper proposes an eigenvector spatial filtering-based (ESF-based) regression model for land cover pattern simulation in China’s Hubei province. The significance and influence of biophysical, climatic, and socio-economic factors have been detected and analyzed in the study region. The ESF-based multinomial logistic regression (spatial model) is...
Article
The availability and use of geographic information technologies and data for describing the patterns and processes operating on or near the Earth’s surface have grown substantially during the past fifty years. The number of geographic information systems software packages and algorithms has also grown quickly during this period, fueled by rapid adv...
Preprint
Full-text available
Background Advances in measurement technology are producing increasingly time-resolved environmental exposure data. We aim to gain new insights into exposures and their potential health impacts by moving beyond simple summary statistics (e.g., means, maximums) to characterize more detailed features of high-frequency time-series data. Methods This s...
Article
Full-text available
Satellite observations show that the rapid urbanization and emergence of megacities with 10 million or more residents have raised PM2.5 concentrations across the globe during the past few decades. This study examines PM2.5 dynamics for the 33 cities included on the UN list of megacities published in 2018. These megacities were classified into dense...
Article
Full-text available
We propose a fundamental theorem for eco-environmental surface modelling (FTEEM) in order to apply it into the fields of ecology and environmental science more easily after the fundamental theorem for Earth’s surface system modeling (FTESM). The Beijing-Tianjin-Hebei (BTH) region is taken as a case area to conduct empirical studies of algorithms fo...
Article
Agricultural soils have tremendous potential to sequester soil organic carbon (SOC) and mitigate global climate change. However, agricultural land use has a profound impact on SOC dynamics, and few studies have explored how agricultural land use combined with soil conditions affect SOC changes throughout the soil profile. Based on a paired soil res...
Article
Full-text available
Nighttime light (NTL) data derived from the Visible Infrared Imaging Radiometer Suite (VIIRS), carried by the Suomi National Polar Orbiting Partnership (NPP) satellite, has been widely used to evaluate gross domestic product (GDP). Nevertheless, due to the monthly VIIRS data fluctuation and missing data (excluded by producers) over high-latitude re...
Article
Ordinary interpolation using PM2.5 ground monitoring observations can seldom reveal the PM2.5 concentration distribution characteristics due to the uneven distribution of monitoring stations and because ordinary linear regression often neglects the spatial autocorrelation among geographical locations. In this study, we developed an eigenvector spat...
Article
Full-text available
Increased human activity threatens inland water quality in China. Major efforts have been made to alleviate water pollution since 2001. Understanding how water quality responds to these forces can help to guide future efforts to maintain water security and sustainability. We here analyzed the nationwide variability of inland water quality across Ch...
Article
Growing research has integrated Global Positioning Systems (GPS), Geographic Information Systems (GIS), and accelerometry in studying effects of built environment on physical activity outcomes. This systematic review aimed to summarize current geospatial methods of assessing contextual exposure to the built environment in these studies. Based on re...
Article
Full-text available
While the estrogenic properties of certain pesticides have been established, associations between pesticide exposure and risk of breast cancer have been inconsistently observed. We investigated the relation between pesticide exposure and breast cancer risk using methods capable of objectively assessing exposure to specific pesticides occurring deca...
Chapter
This chapter traces how the growth of geographic information science and the potential for using the accompanying geospatial tools and data to advance our understanding of disease prevalence, etiology, transmission, and treatment. Two major and interrelated topics are addressed. The first describes current geospatial tools and data along with a fra...
Article
Forests are a major contributor of terrestrial ecosystem carbon pools. Accurate estimates of forest biomass carbon sinks can improve our understanding of carbon cycles and help in developing sustainable forest management policies in the face of climate change. In this study, we update estimates of the biomass carbon stocks of China's forests based...
Preprint
Full-text available
This paper summarizes the current state-of-the-art in geomorphometry and describes the innovations that are close at hand and will be required to push digital terrain modeling forward in the future. These innovations will draw on concepts and methods from computer science and the spatial sciences and require greater collaboration to produce “action...
Preprint
This paper summarizes the current state-of-the-art in geomorphometry and describes the innovations that are close at hand and will be required to push digital terrain modeling forward in the future. These innovations will draw on concepts and methods from computer science and the spatial sciences and require greater collaboration to produce “action...
Book
A digital elevation model (DEM) is a digital representation of ground surface topography or terrain. It is also widely known as a digital terrain model (DTM). A DEM can be represented as a raster (a grid of squares) or as a vector based triangular irregular network (TIN). DEMs are commonly built using remote sensing techniques, but they may also be...
Article
Full-text available
In ubiquitous computing environments, with advanced Information and Communication Technologies, the availability of geographical data is rapidly improving. Spatial statistical services which is based on mathematics and geographic principles provide powerful tools to mine effective information from the rapid improving data. But how to help users to...
Chapter
This chapter starts with a review of the various ways in which researchers have identified and treated errors and uncertainty in digital terrain modeling. It considers some of the ways in which error and uncertainty intersect with two concepts: fitness-for-use and scale. Many papers have been published with the goal of describing Digital Elevation...
Chapter
This chapter focuses on the calculation of land surface parameters and their significance. Most land surface parameters are calculated from projected (planar) square-grid Digital Elevation Models (DEMs). The primary land surface parameters are derived directly from the DEMs without additional inputs. Wilson and Burrough explained the distinction be...
Chapter
The construction of Digital Elevation Models (DEMs) typically incorporates four interrelated tasks. It includes the choice of one or more elevation data networks or models; the sampling of the land surface; the creation of a surface model from the sampled heights; and the correction of the errors and artifacts in the surface model. There are three...
Chapter
This chapter describes the pervasive changes to data capture and computing systems and explores how these are likely to affect the ways in which scientists and practitioners will perform digital terrain modeling work in the future. It also describes the kinds of terrain modeling tools that are currently included in the ArcGIS ecosystem and explains...
Chapter
This chapter marks the shift from general to specific geomorphometry, where general geomorphometry describes the continuous surface and specific geomorphometry describes a series of discrete landforms such as alluvial fans, drumlins, eskers, mountains, and valleys. It describes some of the ways in which land surface elements, land surface objects b...
Article
In emergency management, tools are needed so we can take the appropriate action at different stages of an evacuation. Recent wildfires in California showed how quickly a natural disaster can affect a large geographical area. Natural disasters can create unpredicted traffic congestion or can temporarily block urban or rural roads. Evacuating a large...
Article
Background: Emerging evidence indicates that the near-roadway air pollution (NRAP) mixture contributes to CHD, yet few studies have evaluated the associated costs. Objective: We integrated an assessment of NRAP-attributable CHD in Southern California with new methods to value the associated mortality and hospitalizations. Methods: Based on pop...
Article
Ground observations can capture CO2 concentrations accurately but the number of available TCCON (Total Carbon Column Observing Network) sites is too small to support a comprehensive analysis (i.e. validation) of satellite observations. Atmospheric transport models can provide continuous atmospheric CO2 concentrations in space and time, but some inf...
Article
Single-family residential neighborhoods make up large areas within cities and are undergoing change as residences are renovated and redeveloped. We investigated the effects of such residential redevelopment on land cover (trees/shrubs, grass, building, and hardscape) in the 20 largest cities in the Los Angeles Basin from 2000 to 2009. We identified...
Article
Full-text available
The TanSat carbon satellite is to be launched at the end of 2016. In order to verify the performance of its instruments, a flight test of TanSat instruments was conducted in Jilin Province in September, 2015. The flight test area covered a total area of about 11, 000 km2 and the underlying surface cover included several lakes, forest land, grasslan...
Article
The climate warming is mainly due to the increase in concentrations of anthropogenic greenhouse gases, of which CO2 is the most important one responsible for radiative forcing of the climate. In order to reduce the great estimation uncertainty of atmospheric CO2 concentrations, several CO2-related satellites have been successfully launched and many...
Article
Full-text available
Earth surface systems are controlled by a combination of global and local factors, which cannot be understood without accounting for both the local and global components. The system dynamics cannot be recovered from the global or local controls alone. Ground forest inventory is able to accurately estimate forest carbon stocks in sample plots, but t...
Research
Full-text available
The economic development and land use policies pursued in Southern California throughout most of the twentieth century encouraged rapid population growth and urbanization of land. The five counties of Southern California – Los Angeles, Orange, Riverside, San Bernardino, and Ventura – currently support 16 million people, a sevenfold increase since 1...
Article
Social vulnerability indicators can assist with informing disaster relief preparation. Certain demographic segments of a population may suffer disproportionately during disaster events, and a geographical understanding of them can help to determine where to place strategically logistical assets and to target disaster-awareness outreach endeavours....
Article
Full-text available
Objective: Recent studies suggest that air pollution plays a role in type 2 diabetes (T2D) incidence and mortality. The underlying physiological mechanisms have yet to be established. We hypothesized that air pollution adversely effects insulin sensitivity and secretion and serum lipid levels. Research design and methods: Participants were selec...
Article
Full-text available
Earth surface systems are controlled by a combination of global and local factors, which cannot be understood without accounting for both the local and global components. The system dynamics cannot be recovered from the global or local controls alone. Ground forest inventory is able to accurately estimate forest carbon stocks at sample plots, but t...