From Beats to Tracts

Author(s):  
Gang Gong

In this article, the author addresses the spatial incompatibility between different types of data that is commonly faced in crime analysis research. Socioeconomic variables have been proved valuable in explaining crime behaviors and in predicting crime activities. However, socioeconomic data and crime statistics are usually collected and aggregated at different spatial zonations of geographical space, making the integration and analysis of these data difficult. Simple areal weighting interpolation technique, although frequently employed, often leads to unsatisfactory results due to the fact that most types of crime do not distributed evenly across space. Using 2007 burglary crime in Houston, Texas, as an example, the author illustrates a remote sensing approach to interpolating crime statistics from police beat enumeration district used by Houston Police Department to census tract defined by the U.S. Bureau of the Census.

2010 ◽  
Vol 1 (2) ◽  
pp. 92-106
Author(s):  
Gang Gong

In this article, the author addresses the spatial incompatibility between different types of data that is commonly faced in crime analysis research. Socioeconomic variables have been proved valuable in explaining crime behaviors and in predicting crime activities. However, socioeconomic data and crime statistics are usually collected and aggregated at different spatial zonations of geographical space, making the integration and analysis of these data difficult. Simple areal weighting interpolation technique, although frequently employed, often leads to unsatisfactory results due to the fact that most types of crime do not distributed evenly across space. Using 2007 burglary crime in Houston, Texas, as an example, the author illustrates a remote sensing approach to interpolating crime statistics from police beat enumeration district used by Houston Police Department to census tract defined by the U.S. Bureau of the Census.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S842-S843
Author(s):  
Jenna Holmen ◽  
Art Reingold ◽  
Erica Bye ◽  
Lindsey Kim ◽  
Evan J Anderson ◽  
...  

Abstract Background In the U.S., RSV is increasingly recognized as a cause of hospitalization for adults with respiratory illness. In adults > 50 years of age, it accounts for up to 12% of medically-attended acute respiratory illnesses and has a case fatality proportion of ~ 6–8%. Poverty can have important influences on health on both the individual level as well as the community level. Few studies have evaluated the relationship of RSV and poverty level, and no identified studies have evaluated this relationship among adults. We evaluated the incidence of RSV-associated hospitalizations in adults across multiple sites in the U.S. by census-tract (CT) level poverty. Methods Medical record data abstraction was conducted for all adults with a laboratory-confirmed RSV infection admitted to a hospital within the Centers for Disease Control and Prevention’s Emerging Infections Program catchment areas within California, Georgia, Maryland, Minnesota, New York, and Tennessee during the 2015–2017 RSV seasons (October-April). Patient addresses were geocoded to their corresponding CT. CTs were divided into four levels of poverty, as selected in prior publications, based on American Community Survey data of percentage of people living below the poverty level: 0–4.9%, 5–9.9%, 10-19.9%, and ³20%. Incidence rates were calculated by dividing the number of RSV cases in each CT poverty-level (numerator) by the number of adults living in each CT poverty level (denominator), as determined from the 2010 US census, and standardized for age. Results There were 1713 RSV case-patients with demographic characteristics (Table 1). The incidence of RSV-associated hospitalizations of adults increased with increasing CT level poverty (Figure 1 and Table 2). The risk of RSV-associated hospitalization was 2.58 times higher in census tracts with the highest (20%) versus the lowest (< 5%) percentages of individuals living below the poverty level. Table 1: Demographic characteristics of adults with an RSV-associated hospitalization, 2015-2017. Figure 1. Age-adjusted incidence rate of RSV-associated hospitalizations of adults by census-tract poverty level, 2015-2017 Table 2. Incidence rate ratios for RSV-associated hospitalizations of adults by census-tract poverty level, 2015-2017. Conclusion The incidence rate of RSV-associated hospitalization in adults appears to have a positive association with increasing CT level of poverty; however, this trend reached significance only among cases living in CTs with higher percentages of poverty (≥ 10%). Disclosures Evan J. Anderson, MD, Sanofi Pasteur (Scientific Research Study Investigator)


Author(s):  
Jimmy Patiño

Chapter 6 explores how Herman Baca and San Diego Chicano/Mexicano created the Committee on Chicano Rights (CCR) in 1976. These activists fought the San Diego Sherriff’s Department issued order for taxi cab drivers, under penalty of citation and fines, to report any of their clientele who they “feel” might be undocumented to their offices for apprehension in 1972. The San Diego Police Department, under the administration of San Diego Mayor (and future California governor) Pete Wilson, followed suit in 1973 by assuming the responsibility of determining resident’s legal status and apprehending the undocumented to assist the U.S. Border Patrol. This culminated in the founding of the CCR through the struggle on behalf of the family of a Puerto Rican barrio youth, Luis “Tato” Rivera, killed by a National City police officer.


2020 ◽  
Vol 12 (8) ◽  
pp. 1242 ◽  
Author(s):  
Sumanta Chatterjee ◽  
Jingyi Huang ◽  
Alfred E. Hartemink

Progress in sensor technologies has allowed real-time monitoring of soil water. It is a challenge to model soil water content based on remote sensing data. Here, we retrieved and modeled surface soil moisture (SSM) at the U.S. Climate Reference Network (USCRN) stations using Sentinel-1 backscatter data from 2016 to 2018 and ancillary data. Empirical machine learning models were established between soil water content measured at the USCRN stations with Sentinel-1 data from 2016 to 2017, the National Land Cover Dataset, terrain parameters, and Polaris soil data, and were evaluated in 2018 at the same USCRN stations. The Cubist model performed better than the multiple linear regression (MLR) and Random Forest (RF) model (R2 = 0.68 and RMSE = 0.06 m3 m-3 for validation). The Cubist model performed best in Shrub/Scrub, followed by Herbaceous and Cultivated Crops but poorly in Hay/Pasture. The success of SSM retrieval was mostly attributed to soil properties, followed by Sentinel-1 backscatter data, terrain parameters, and land cover. The approach shows the potential for retrieving SSM using Sentinel-1 data in a combination of high-resolution ancillary data across the conterminous United States (CONUS). Future work is required to improve the model performance by including more SSM network measurements, assimilating Sentinel-1 data with other microwave, optical and thermal remote sensing products. There is also a need to improve the spatial resolution and accuracy of land surface parameter products (e.g., soil properties and terrain parameters) at the regional and global scales.


2020 ◽  
Vol 240 ◽  
pp. 111692 ◽  
Author(s):  
Huanfeng Shen ◽  
Yun Jiang ◽  
Tongwen Li ◽  
Qing Cheng ◽  
Chao Zeng ◽  
...  

1979 ◽  
Vol 1979 (1) ◽  
pp. 313-316
Author(s):  
William F. Croswell ◽  
John C. Fedors

ABSTRACT The U.S. Congress has directed NASA to conduct an assessment of the potential use of space technology in the monitoring of oil spills and ocean pollution. As a result, laboratory studies, aircraft missions, and spacecraft studies are underway to perform this assessment with the cooperation of the U.S. Coast Guard, the Environmental Protection Agency, the Bureau of Land Management, the U.S. Geological Survey, the National Oceanic and Atmospheric Administration, and the Canada Centre for Remote Sensing. Primary emphasis in the space system will be directed toward all-weather remote sensing and surveillance in which the space system would provide information to regulatory agencies for closer investigation with aircraft or ships. Laboratory and aircraft missions will be directed toward understanding and obtaining simultaneous microwave and optical imagery of oil spills on the sea with instruments of potential usefulness in the modeling of the movement of spills, along with detection and surveillance image definition. This paper summarizes the status of these efforts as of late 1978. Initial results of the required assessment should be available by the end of 1979.


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