Elijah Knaap
Biographic Data
| ID | 6010856 |
|---|---|
| NAME | Elijah Knaap |
| GIVEN NAMES | Elijah |
| FAMILY NAME | Knaap |
| SIGNATURE | KNAAP E |
| AFFILIATIONS | University of California, Riverside |
| ORCID | 0000-0001-7520-2238 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 27 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Exploring Space‐Time Interactions in Fatal Opioid Overdoses
This study investigates fatal opioid overdoses in Riverside County, California, between January 2020 and March 2023, employing advanced spatial‐temporal analysis methods to uncover significant clusters and their underlying contexts. By integrating global and local Knox tests, the research identifies both broad trends and specific hotspots of fatal overdoses. The findings reveal substantial spatial disparities, with higher overdose rates in rural …
The emergence of fentanyl in a stimulant landscape
Our research calls for evidence-based education about fentanyl, expanded access to harm reduction services, including community drug checking and safer smoking supplies, and low-barrier drug treatment as part of broader efforts to promote community care
Measuring two decades of urban spatial structure
In this paper we examine the evolution of urban spatial structure in U.S. metropolitan areas over nearly two decades. Using annual block-level data from the Longitudinal Employment Household Dynamics database, we introduce a technique for identifying regional employment centers that both adheres to urban economic theory and pays homage to classic contributions in local spatial statistics. Centers are defined as local spatial statistical outliers …
Segregated by design? Street network topological structure and the measurement of urban segregation
Racial residential segregation is a longstanding topic of focus across the disciplines of urban social science. Classically, segregation indices are calculated based on areal groupings (e.g., counties or census tracts), with more recent research exploring ways that spatial relationships can enter the equation. Spatial segregation measures embody the notion that proximity to one’s neighbors is a better specification of residential segregation than…
American Community Survey (ACS) Data Uncertainty and the Analysis of Segregation Dynamics
American Community Survey (ACS) data have become the workhorse for the empirical analysis of segregation in the U.S.A. during the past decade. The increased frequency the ACS offers over the 10-year Census, which is the main reason for its popularity, comes with an increased level of uncertainty in the published estimates due to the reduced sampling ratio of ACS (1:40 households) relative to the Census (1:6 households). This paper introduces a ne…
The PySAL Ecosystem
PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a long history of supporting novel scholarship and broadening methodological impacts far afield of academic work. Recently, many new techniques, methods of analyses, and development modes have been implemented, making the library much larger and more encompassing than that previously discussed in the literature. As such, we provide an introduction t…
Changes in the economic status of neighbourhoods in US metropolitan areas from 1980 to 2010
In this paper we move away from a static view of neighbourhood inequality and investigate the dynamics of neighbourhood economic status, which ties together spatial income inequality at different moments in time. Using census data from three decades (1980–2010) in 294 metropolitan statistical areas, we use a statistical decomposition method to unpack the aggregate spatiotemporal income dynamic into its contributing components: stability, growth a…
Geosilhouettes
Regionalization, under various guises and descriptions, is a longstanding and pervasive interest of urban studies. With an increasingly large number of studies on urban place detection in language, behavior, pricing, and demography, recent critiques of longstanding regional science perspectives on place detection have focused on the arbitrariness and non-geographical nature of measures of best fit. In this paper, we develop new explicitly geograp…
Sensitivity of sequence methods in the study of neighborhood change in the United States
A Visual Analytics System for Space–Time Dynamics of Regional Income Distributions Utilizing Animated Flow Maps and Rank‐based Markov Chains
Regional income convergence and divergence has been an active field of research for more than 20 years, and research papers in this field are still being produced at a prodigious rate. Despite their importance for the study of dynamics of income distribution, interactive visualization tools revealing spatiotemporal dimensions of the income data have been sparsely developed. This study introduces a visual analytics system for the space–time analys…
How Do Cities Flow in an Emergency? Tracing Human Mobility Patterns during a Natural Disaster with Big Data and Geospatial Data Science
Understanding human movements in the face of natural disasters is critical for disaster evacuation planning, management, and relief. Despite the clear need for such work, these studies are rare in the literature due to the lack of available data measuring spatiotemporal mobility patterns during actual disasters. This study explores the spatiotemporal patterns of evacuation travels by leveraging users’ location information from millions of tweets …
Mi Casa no es Su Casa
Transit-oriented development (TOD) often raises land values and can promote gentrification and the displacement in low-income communities. Little research, however, has shown how communities have organized to fight for more equitable TOD processes and outcomes within particular metropolitan contexts and dynamics of neighborhood change. This case study examines the role of neighborhood-based advocacy and organizing in fighting for equitable TOD an…
Metropolitan planning in a vacuum
The main policy initiative of the Obama administration’s first-term urban policy agenda was the Partnership for Sustainable Communities, which issued Sustainable Communities Regional Planning Grants (SCRPGs) to regions across the country. As participant activist scholars in the SCRPG planning process in Baltimore, Maryland, we present our analysis of 4 aspects of regional equity planning: community engagement, regional collaboration, regional hou…
Opportunity for Whom? The Diverse Definitions of Neighborhood Opportunity in Baltimore
Across the United States, communities are increasingly interested in the spatial structure of opportunity. Recently, several federal programs have promulgated opportunity mapping as a tool to help increase disadvantaged communities’ access to neighborhood opportunity. The increasing institutionalization of opportunity mapping raises questions about how opportunity is defined and by whom. This paper analyzes data from community engagement events h…
Mi Casa no es Su Casa
Transit-oriented development (TOD) often raises land values and can promote gentrification and the displacement in low-income communities. Little research, however, has shown how communities have organized to fight for more equitable TOD processes and outcomes within particular metropolitan contexts and dynamics of neighborhood change. This case study examines the role of neighborhood-based advocacy and organizing in fighting for equitable TOD an…
Metropolitan planning in a vacuum
The main policy initiative of the Obama administration’s first-term urban policy agenda was the Partnership for Sustainable Communities, which issued Sustainable Communities Regional Planning Grants (SCRPGs) to regions across the country. As participant activist scholars in the SCRPG planning process in Baltimore, Maryland, we present our analysis of 4 aspects of regional equity planning: community engagement, regional collaboration, regional hou…
How Do Cities Flow in an Emergency? Tracing Human Mobility Patterns during a Natural Disaster with Big Data and Geospatial Data Science
Understanding human movements in the face of natural disasters is critical for disaster evacuation planning, management, and relief. Despite the clear need for such work, these studies are rare in the literature due to the lack of available data measuring spatiotemporal mobility patterns during actual disasters. This study explores the spatiotemporal patterns of evacuation travels by leveraging users’ location information from millions of tweets …
American Community Survey (ACS) Data Uncertainty and the Analysis of Segregation Dynamics
American Community Survey (ACS) data have become the workhorse for the empirical analysis of segregation in the U.S.A. during the past decade. The increased frequency the ACS offers over the 10-year Census, which is the main reason for its popularity, comes with an increased level of uncertainty in the published estimates due to the reduced sampling ratio of ACS (1:40 households) relative to the Census (1:6 households). This paper introduces a ne…
Changes in the economic status of neighbourhoods in US metropolitan areas from 1980 to 2010
In this paper we move away from a static view of neighbourhood inequality and investigate the dynamics of neighbourhood economic status, which ties together spatial income inequality at different moments in time. Using census data from three decades (1980–2010) in 294 metropolitan statistical areas, we use a statistical decomposition method to unpack the aggregate spatiotemporal income dynamic into its contributing components: stability, growth a…
Opportunity for Whom? The Diverse Definitions of Neighborhood Opportunity in Baltimore
Across the United States, communities are increasingly interested in the spatial structure of opportunity. Recently, several federal programs have promulgated opportunity mapping as a tool to help increase disadvantaged communities’ access to neighborhood opportunity. The increasing institutionalization of opportunity mapping raises questions about how opportunity is defined and by whom. This paper analyzes data from community engagement events h…
Opportunity for Whom? The Diverse Definitions of Neighborhood Opportunity in Baltimore
Across the United States, communities are increasingly interested in the spatial structure of opportunity. Recently, several federal programs have promulgated opportunity mapping as a tool to help increase disadvantaged communities’ access to neighborhood opportunity. The increasing institutionalization of opportunity mapping raises questions about how opportunity is defined and by whom. This paper analyzes data from community engagement events h…
How Do Cities Flow in an Emergency? Tracing Human Mobility Patterns during a Natural Disaster with Big Data and Geospatial Data Science
Understanding human movements in the face of natural disasters is critical for disaster evacuation planning, management, and relief. Despite the clear need for such work, these studies are rare in the literature due to the lack of available data measuring spatiotemporal mobility patterns during actual disasters. This study explores the spatiotemporal patterns of evacuation travels by leveraging users’ location information from millions of tweets …
Mi Casa no es Su Casa
Transit-oriented development (TOD) often raises land values and can promote gentrification and the displacement in low-income communities. Little research, however, has shown how communities have organized to fight for more equitable TOD processes and outcomes within particular metropolitan contexts and dynamics of neighborhood change. This case study examines the role of neighborhood-based advocacy and organizing in fighting for equitable TOD an…
Metropolitan planning in a vacuum
The main policy initiative of the Obama administration’s first-term urban policy agenda was the Partnership for Sustainable Communities, which issued Sustainable Communities Regional Planning Grants (SCRPGs) to regions across the country. As participant activist scholars in the SCRPG planning process in Baltimore, Maryland, we present our analysis of 4 aspects of regional equity planning: community engagement, regional collaboration, regional hou…
Sensitivity of sequence methods in the study of neighborhood change in the United States
A Visual Analytics System for Space–Time Dynamics of Regional Income Distributions Utilizing Animated Flow Maps and Rank‐based Markov Chains
Regional income convergence and divergence has been an active field of research for more than 20 years, and research papers in this field are still being produced at a prodigious rate. Despite their importance for the study of dynamics of income distribution, interactive visualization tools revealing spatiotemporal dimensions of the income data have been sparsely developed. This study introduces a visual analytics system for the space–time analys…
Geosilhouettes
Regionalization, under various guises and descriptions, is a longstanding and pervasive interest of urban studies. With an increasingly large number of studies on urban place detection in language, behavior, pricing, and demography, recent critiques of longstanding regional science perspectives on place detection have focused on the arbitrariness and non-geographical nature of measures of best fit. In this paper, we develop new explicitly geograp…
The PySAL Ecosystem
PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a long history of supporting novel scholarship and broadening methodological impacts far afield of academic work. Recently, many new techniques, methods of analyses, and development modes have been implemented, making the library much larger and more encompassing than that previously discussed in the literature. As such, we provide an introduction t…
Changes in the economic status of neighbourhoods in US metropolitan areas from 1980 to 2010
In this paper we move away from a static view of neighbourhood inequality and investigate the dynamics of neighbourhood economic status, which ties together spatial income inequality at different moments in time. Using census data from three decades (1980–2010) in 294 metropolitan statistical areas, we use a statistical decomposition method to unpack the aggregate spatiotemporal income dynamic into its contributing components: stability, growth a…
American Community Survey (ACS) Data Uncertainty and the Analysis of Segregation Dynamics
American Community Survey (ACS) data have become the workhorse for the empirical analysis of segregation in the U.S.A. during the past decade. The increased frequency the ACS offers over the 10-year Census, which is the main reason for its popularity, comes with an increased level of uncertainty in the published estimates due to the reduced sampling ratio of ACS (1:40 households) relative to the Census (1:6 households). This paper introduces a ne…
Measuring two decades of urban spatial structure
In this paper we examine the evolution of urban spatial structure in U.S. metropolitan areas over nearly two decades. Using annual block-level data from the Longitudinal Employment Household Dynamics database, we introduce a technique for identifying regional employment centers that both adheres to urban economic theory and pays homage to classic contributions in local spatial statistics. Centers are defined as local spatial statistical outliers …
Segregated by design? Street network topological structure and the measurement of urban segregation
Racial residential segregation is a longstanding topic of focus across the disciplines of urban social science. Classically, segregation indices are calculated based on areal groupings (e.g., counties or census tracts), with more recent research exploring ways that spatial relationships can enter the equation. Spatial segregation measures embody the notion that proximity to one’s neighbors is a better specification of residential segregation than…
Exploring Space‐Time Interactions in Fatal Opioid Overdoses
This study investigates fatal opioid overdoses in Riverside County, California, between January 2020 and March 2023, employing advanced spatial‐temporal analysis methods to uncover significant clusters and their underlying contexts. By integrating global and local Knox tests, the research identifies both broad trends and specific hotspots of fatal overdoses. The findings reveal substantial spatial disparities, with higher overdose rates in rural …
The emergence of fentanyl in a stimulant landscape
Our research calls for evidence-based education about fentanyl, expanded access to harm reduction services, including community drug checking and safer smoking supplies, and low-barrier drug treatment as part of broader efforts to promote community care
Geography (11 works) · Urban, Neighborhood, and Segregation Studies (8 works) · Computer Science (7 works) · Metropolitan area (7 works) · Economics (6 works) · Mathematics (6 works) · Sociology (6 works) · Economic geography (5 works) · Political science (5 works) · Econometrics (4 works)