The survey found that most Kings Park residents have lived in the community for over 15 years. Residents were split on whether quality of life was improving, staying the same, or getting worse. While residents appreciated the location and amenities, they were concerned about issues like unkept homes, parking problems, and speeding traffic. The survey aimed to understand resident opinions to help the civic association address challenges and build a stronger sense of community.
The Progressive Caucus progress report summarizes work from Spring 2016, including policy priorities to promote economic and social justice. Key accomplishments include passing bills to protect grocery workers and reduce plastic bag use. The Caucus held hearings on issues like freelancer protections and tenant safety. Events included rallies for youth jobs and school food briefings. The City budget included $43 million for libraries and $38.5 million for summer youth jobs. Upcoming meetings will discuss priorities with city leaders.
Superintendent's Weekly Review - St. John, FloridaPacettiBay
The Superintendent's weekly review summarizes key issues from the legislative session, including proposed bills on teacher performance pay and tenure that would dramatically change teacher evaluations. Budget cuts of 10% proposed by the governor could result in losing 275 teaching positions. Updates are also provided on the strategic plan presentation to staff, the school-related employee reception, and volunteer recognition events.
Resolution 10.16 supporting the schreyer gender equity coalition open letterAnthonyAvella1
The document is a resolution from the University Park Undergraduate Association supporting the Schreyer Gender Equity Coalition's open letter regarding Penn State's campus climate surveys on sexual violence and misconduct.
The resolution recommends that the UPUA distribute and promote the Coalition's letter to encourage more student signatures. It also recommends releasing the results of Penn State's 2018 sexual misconduct survey by October 1st and committing to conducting regular climate surveys in the future with input from student groups. The resolution acknowledges the advocacy efforts of current and former Coalition members on this issue.
The poll found that New Yorkers are divided on hydrofracking, with 41% opposing it and 38% supporting it, while a notable 21% remain unsure. A majority of New Yorkers statewide believe that preserving water supplies and the environment from contamination is more important than either oil independence or job creation. However, one in four New York City residents do not correctly identify upstate reservoirs as their primary source of water.
The poll found that New Yorkers are divided on hydrofracking, with 41% opposing it and 38% supporting it, while a notable 21% remain unsure. A majority of New Yorkers statewide believe that preserving water supplies and the environment should be prioritized over both oil independence and job creation. However, nearly one quarter of New York City residents do not correctly identify that the primary source of their water comes from upstate reservoirs.
Resolution 11.16 supporting the schreyer gender equity coalition open letterAnthonyAvella1
The Schreyer Gender Equity Coalition has released an open letter to the Vice President of Student Affairs at Penn State asking them to release the results of the 2018 Penn State Sexual Misconduct Survey and commit to completing future surveys. They reference promises made by Penn State's president in 2014 to administer regular climate surveys on sexual assault. The letter notes that without access to survey data, students do not have an accurate understanding of the prevalence of sexual violence at Penn State. It asks that the 2018 survey results be released by October 1st and that future surveys be conducted at least every three years to properly assess experiences of students from marginalized groups.
The document summarizes discussions at two public meetings about a school district's proposal to consolidate some of its elementary schools. At the first meeting, members of a community group opposed to closing the Lack-Tuscarora school voiced their concerns to district officials. The second meeting was a larger public hearing that provided another detailed explanation of the consolidation plan. The school board is scheduled to vote on whether or not to include the Lack-Tuscarora school in the plan at their April 21 meeting.
The newsletter provides information on upcoming events related to land use and the environment in Cecil County. It summarizes a presentation on agricultural land preservation that discussed the mechanisms for establishing easements. It also provides updates on the charter government proposal and congratulates Rupert Rossetti for receiving a state water conservation award. Finally, it includes the regular "Cecil Watershed Watch" section with information on local watershed activities, projects, and a proposed quarry expansion.
The Progressive Caucus progress report summarizes work from Spring 2016, including policy priorities to promote economic and social justice. Key accomplishments include passing bills to protect grocery workers and reduce plastic bag use. The Caucus held hearings on issues like freelancer protections and tenant safety. Events included rallies for youth jobs and school food briefings. The City budget included $43 million for libraries and $38.5 million for summer youth jobs. Upcoming meetings will discuss priorities with city leaders.
Superintendent's Weekly Review - St. John, FloridaPacettiBay
The Superintendent's weekly review summarizes key issues from the legislative session, including proposed bills on teacher performance pay and tenure that would dramatically change teacher evaluations. Budget cuts of 10% proposed by the governor could result in losing 275 teaching positions. Updates are also provided on the strategic plan presentation to staff, the school-related employee reception, and volunteer recognition events.
Resolution 10.16 supporting the schreyer gender equity coalition open letterAnthonyAvella1
The document is a resolution from the University Park Undergraduate Association supporting the Schreyer Gender Equity Coalition's open letter regarding Penn State's campus climate surveys on sexual violence and misconduct.
The resolution recommends that the UPUA distribute and promote the Coalition's letter to encourage more student signatures. It also recommends releasing the results of Penn State's 2018 sexual misconduct survey by October 1st and committing to conducting regular climate surveys in the future with input from student groups. The resolution acknowledges the advocacy efforts of current and former Coalition members on this issue.
The poll found that New Yorkers are divided on hydrofracking, with 41% opposing it and 38% supporting it, while a notable 21% remain unsure. A majority of New Yorkers statewide believe that preserving water supplies and the environment from contamination is more important than either oil independence or job creation. However, one in four New York City residents do not correctly identify upstate reservoirs as their primary source of water.
The poll found that New Yorkers are divided on hydrofracking, with 41% opposing it and 38% supporting it, while a notable 21% remain unsure. A majority of New Yorkers statewide believe that preserving water supplies and the environment should be prioritized over both oil independence and job creation. However, nearly one quarter of New York City residents do not correctly identify that the primary source of their water comes from upstate reservoirs.
Resolution 11.16 supporting the schreyer gender equity coalition open letterAnthonyAvella1
The Schreyer Gender Equity Coalition has released an open letter to the Vice President of Student Affairs at Penn State asking them to release the results of the 2018 Penn State Sexual Misconduct Survey and commit to completing future surveys. They reference promises made by Penn State's president in 2014 to administer regular climate surveys on sexual assault. The letter notes that without access to survey data, students do not have an accurate understanding of the prevalence of sexual violence at Penn State. It asks that the 2018 survey results be released by October 1st and that future surveys be conducted at least every three years to properly assess experiences of students from marginalized groups.
The document summarizes discussions at two public meetings about a school district's proposal to consolidate some of its elementary schools. At the first meeting, members of a community group opposed to closing the Lack-Tuscarora school voiced their concerns to district officials. The second meeting was a larger public hearing that provided another detailed explanation of the consolidation plan. The school board is scheduled to vote on whether or not to include the Lack-Tuscarora school in the plan at their April 21 meeting.
The newsletter provides information on upcoming events related to land use and the environment in Cecil County. It summarizes a presentation on agricultural land preservation that discussed the mechanisms for establishing easements. It also provides updates on the charter government proposal and congratulates Rupert Rossetti for receiving a state water conservation award. Finally, it includes the regular "Cecil Watershed Watch" section with information on local watershed activities, projects, and a proposed quarry expansion.
This document summarizes a study that used principal component analysis (PCA) and kernel principal component analysis (KPCA) to extract features from electrocardiogram (ECG) signals, which were then classified using a binary support vector machine (SVM) model. The study tested PCA, KPCA, and no feature extraction on ECG data from the MIT-BIH Arrhythmia Database to classify normal signals and three types of abnormalities. Results showed that combining SVM with KPCA feature extraction achieved the best classification performance compared to using SVM alone or with PCA. Automatic ECG classification is important for diagnosing cardiac irregularities.
Electronic Nose for Black Tea Quality Evaluation Using Kernel Based Clusterin...CSCJournals
Black Tea is conventionally tested by human sensory panel called “Tea Tasters”, who assign quality scores to different teas. In this paper electronic nose based evaluation of black tea samples have been described. One of the principal problems encountered in the above studies is collection of tea samples. These tea industries in India are spread over dispersed locations and quality of tea varies considerably on agroclimatic condition, type of plantation, season of flush and method of manufacturing. As a result the nature of data is overlapped, when it is collected from the electronic nose even if, it belongs to different scores of tea. For better separation among the different scores of tea samples, the kernel principal component analysis (KPCA) and kernel discriminate analysis (KLDA) have been employed in the clustering algorithm for black tea aroma discrimination with electronic nose .The performance using KPCA and KLDA is very effective as well as most interesting.
Principal component analysis and matrix factorizations for learning (part 2) ...zukun
1) Spectral clustering is a technique for clustering data based on the eigenvectors of the similarity matrix of the data. 2) It works by computing the generalized eigenvectors of the normalized graph Laplacian matrix, which leads to a low-dimensional embedding of the data that can then be clustered using k-means. 3) Spectral clustering is related to other graph clustering techniques like normalized cut that aim to minimize similarities between clusters while balancing cluster sizes.
Kernel Entropy Component Analysis in Remote Sensing Data Clustering.pdfgrssieee
This document presents Kernel Entropy Component Analysis (KECA) for nonlinear dimensionality reduction and spectral clustering in remote sensing data. KECA extends Entropy Component Analysis (ECA) to kernel spaces to capture nonlinear feature relations. It works by maximizing the entropy of data projections while preserving between-cluster divergence. The paper describes KECA methodology, including kernel entropy estimation, nonlinear transformation to feature space, and spectral clustering based on Cauchy-Schwarz divergence between cluster means. Experimental results on cloud screening from MERIS satellite images show KECA outperforms k-means clustering, KPCA dimensionality reduction followed by k-means, and kernel k-means.
Nonlinear component analysis as a kernel eigenvalue problemMichele Filannino
This presentation summarizes paper #7 titled "Nonlinear component analysis as a kernel eigenvalue problem" by Scholkopf, Smola, and Muller. It introduces Kernel Principal Component Analysis (KPCA) as an extension of PCA that maps data into a higher dimensional feature space. The presentation discusses how KPCA frames PCA as a kernel eigenvalue problem and computes principal components in this new feature space. It provides the mathematical formulation and algorithm for KPCA. The presentation also discusses applications, advantages, disadvantages, and experiments comparing KPCA to other dimensionality reduction techniques.
This document proposes a Mahalanobis kernel for hyperspectral image classification based on probabilistic principal component analysis (PPCA). The PPCA model captures the cluster structure of each class in a lower-dimensional subspace. This model is used to define the hyperparameters for the Mahalanobis kernel. Experimental results on simulated and real hyperspectral images show the PPCA-based Mahalanobis kernel achieves better classification accuracy than Gaussian and PCA-based kernels. Future work includes optimizing the hyperparameters and estimating the number of principal components.
Different kind of distance and Statistical DistanceKhulna University
A short brief of distance and statistical distance which is core of multivariate analysis.................you will get here some more simple conception about distances and statistical distance.
Principal Component Analysis For Novelty DetectionJordan McBain
This document summarizes a journal article that proposes using principal component analysis (PCA) for novelty detection in condition monitoring applications. It describes how PCA can be used to reduce the dimensionality of feature spaces while retaining most of the variation in the data. The authors modify the standard PCA technique to maximize the difference between the spread of normal data and the spread of outlier data from the mean of the normal data. They validate the approach on artificial and machinery vibration data and show it can effectively distinguish outliers. Future work could involve extending the technique to non-linear data using kernel methods.
Analyzing Kernel Security and Approaches for Improving itMilan Rajpara
The document discusses analyzing and improving kernel security. It describes how kernels work and why kernel security is important. Methods for analyzing kernel security like DIGGER are presented, which can identify critical kernel objects like pointers without prior knowledge. The document also discusses approaches for improving kernel security, such as protecting generic pointers with techniques like Sentry that control access to kernel data structures through object partitioning. Future work areas include automatically detecting all kernel data structures and expanding Sentry's protections.
Modeling and forecasting age-specific mortality: Lee-Carter method vs. Functi...hanshang
The document discusses four topics: 1) the Lee-Carter model for modeling and forecasting age-specific mortality rates, 2) nonparametric smoothing of functional data, 3) functional principal component analysis (FPCA) as a dimension reduction technique, and 4) functional time series forecasting. FPCA decomposes the variability in functional data into orthogonal principal components to extract the most important patterns in the data with few dimensions.
Explicit Signal to Noise Ratio in Reproducing Kernel Hilbert Spaces.pdfgrssieee
This document presents a new nonlinear kernel feature extraction method called Kernel Minimum Noise Fraction (KMNF) for remote sensing data. KMNF is based on the Minimum Noise Fraction transformation but estimates noise explicitly in a reproducing kernel Hilbert space, allowing it to handle nonlinear relationships between signal and noise features. The authors introduce KMNF and compare it to other feature extraction methods like PCA, MNF, and KPCA on a hyperspectral image classification task.
Regularized Principal Component Analysis for Spatial DataWen-Ting Wang
This document presents a method for regularized principal component analysis (PCA) of spatial data. Standard PCA can produce unstable and noisy patterns when applied to spatial data due to high estimation variability from small sample sizes or large numbers of locations. The proposed regularized PCA incorporates spatial structure, sparsity, and orthogonality of the eigenvectors to enhance interpretability. It formulates a rank-K spatial model for the data and aims to estimate the dominant spatial patterns represented by orthogonal functions through regularized PCA.
DataEngConf: Feature Extraction: Modern Questions and Challenges at GoogleHakka Labs
By Dmitry Storcheus (Engineer, Google Research)
Feature extraction, as usually understood, seeks an optimal transformation from raw data into features that can be used as an input for a learning algorithm. In recent times this problem has been attacked using a growing number of diverse techniques that originated in separate research communities: from PCA and LDA to manifold and metric learning. The goal of this talk is to contrast and compare feature extraction techniques coming from different machine learning areas as well as discuss the modern challenges and open problems in feature extraction. Moreover, this talk will suggest novel solutions to some of the challenges discussed, particularly to coupled feature extraction.
This is a presentation that I gave to my research group. It is about probabilistic extensions to Principal Components Analysis, as proposed by Tipping and Bishop.
Principal component analysis and matrix factorizations for learning (part 1) ...zukun
This document discusses principal component analysis (PCA) and matrix factorizations for learning. It provides an overview of PCA and singular value decomposition (SVD), their history and applications. PCA and SVD are widely used techniques for dimensionality reduction and data transformation. The document also discusses how PCA relates to other methods like spectral clustering and correspondence analysis.
Principal Component Analysis and ClusteringUsha Vijay
Identifying the borrower segments from the give bank data set which has 27000 rows and 77 variable using PROC PRINCOMP. variables, it is important to reduce the data set to a smaller set of variables to derive a feasible
conclusion. With the effect of multicollinearity two or more variables can share the same plane in the in dimensions. Each row of the data can
be envisioned as a 77 dimensional graph and when we project the data as orthonormal, it is expected that the certain characteristics of the
data based on the plots to cluster together as principal components. In order to identify these principal components. PROC PRINCOMP is
executed with all the variables except the constant variables(recoveries and collection fees) and we derive a plot of Eigen values of all the
principal components
The document provides information about electrocardiography (EKG/ECG). It describes the conduction system of the heart and how electrical signals are conducted to trigger heart contractions. It explains how an EKG works, including electrode placement and what different parts of the EKG waveform represent. It also covers how to interpret an EKG, such as measuring heart rate and identifying abnormalities. Common abnormalities, their causes, and clinical significance are discussed.
Introduction to Statistical Machine Learningmahutte
This course provides a broad introduction to the methods and practice
of statistical machine learning, which is concerned with the development
of algorithms and techniques that learn from observed data by
constructing stochastic models that can be used for making predictions
and decisions. Topics covered include Bayesian inference and maximum
likelihood modeling; regression, classi¯cation, density estimation,
clustering, principal component analysis; parametric, semi-parametric,
and non-parametric models; basis functions, neural networks, kernel
methods, and graphical models; deterministic and stochastic
optimization; over¯tting, regularization, and validation.
This document summarizes research conducted on the Forest Glen community in Chicago to identify strategies for engaging residents in the city's Climate Action Plan. Key findings include:
1) The area is made up of stable, middle-class neighborhoods anchored by civic organizations, schools, and churches that foster community involvement.
2) Influential community associations and chambers of commerce collaborate closely on issues and help shape neighborhood development through civic participation.
3) Residents value the area's historic character, proximity to forest preserves, and sense of safety and stability in single-family homes.
Evaluation of Community Gardens
`
For more information, Please see websites below:
`
Organic Edible Schoolyards & Gardening with Children =
http://scribd.com/doc/239851214 ~
`
Double Food Production from your School Garden with Organic Tech =
http://scribd.com/doc/239851079 ~
`
Free School Gardening Art Posters =
http://scribd.com/doc/239851159 ~
`
Increase Food Production with Companion Planting in your School Garden =
http://scribd.com/doc/239851159 ~
`
Healthy Foods Dramatically Improves Student Academic Success =
http://scribd.com/doc/239851348 ~
`
City Chickens for your Organic School Garden =
http://scribd.com/doc/239850440 ~
`
Simple Square Foot Gardening for Schools - Teacher Guide =
http://scribd.com/doc/239851110 ~
This document summarizes a study that used principal component analysis (PCA) and kernel principal component analysis (KPCA) to extract features from electrocardiogram (ECG) signals, which were then classified using a binary support vector machine (SVM) model. The study tested PCA, KPCA, and no feature extraction on ECG data from the MIT-BIH Arrhythmia Database to classify normal signals and three types of abnormalities. Results showed that combining SVM with KPCA feature extraction achieved the best classification performance compared to using SVM alone or with PCA. Automatic ECG classification is important for diagnosing cardiac irregularities.
Electronic Nose for Black Tea Quality Evaluation Using Kernel Based Clusterin...CSCJournals
Black Tea is conventionally tested by human sensory panel called “Tea Tasters”, who assign quality scores to different teas. In this paper electronic nose based evaluation of black tea samples have been described. One of the principal problems encountered in the above studies is collection of tea samples. These tea industries in India are spread over dispersed locations and quality of tea varies considerably on agroclimatic condition, type of plantation, season of flush and method of manufacturing. As a result the nature of data is overlapped, when it is collected from the electronic nose even if, it belongs to different scores of tea. For better separation among the different scores of tea samples, the kernel principal component analysis (KPCA) and kernel discriminate analysis (KLDA) have been employed in the clustering algorithm for black tea aroma discrimination with electronic nose .The performance using KPCA and KLDA is very effective as well as most interesting.
Principal component analysis and matrix factorizations for learning (part 2) ...zukun
1) Spectral clustering is a technique for clustering data based on the eigenvectors of the similarity matrix of the data. 2) It works by computing the generalized eigenvectors of the normalized graph Laplacian matrix, which leads to a low-dimensional embedding of the data that can then be clustered using k-means. 3) Spectral clustering is related to other graph clustering techniques like normalized cut that aim to minimize similarities between clusters while balancing cluster sizes.
Kernel Entropy Component Analysis in Remote Sensing Data Clustering.pdfgrssieee
This document presents Kernel Entropy Component Analysis (KECA) for nonlinear dimensionality reduction and spectral clustering in remote sensing data. KECA extends Entropy Component Analysis (ECA) to kernel spaces to capture nonlinear feature relations. It works by maximizing the entropy of data projections while preserving between-cluster divergence. The paper describes KECA methodology, including kernel entropy estimation, nonlinear transformation to feature space, and spectral clustering based on Cauchy-Schwarz divergence between cluster means. Experimental results on cloud screening from MERIS satellite images show KECA outperforms k-means clustering, KPCA dimensionality reduction followed by k-means, and kernel k-means.
Nonlinear component analysis as a kernel eigenvalue problemMichele Filannino
This presentation summarizes paper #7 titled "Nonlinear component analysis as a kernel eigenvalue problem" by Scholkopf, Smola, and Muller. It introduces Kernel Principal Component Analysis (KPCA) as an extension of PCA that maps data into a higher dimensional feature space. The presentation discusses how KPCA frames PCA as a kernel eigenvalue problem and computes principal components in this new feature space. It provides the mathematical formulation and algorithm for KPCA. The presentation also discusses applications, advantages, disadvantages, and experiments comparing KPCA to other dimensionality reduction techniques.
This document proposes a Mahalanobis kernel for hyperspectral image classification based on probabilistic principal component analysis (PPCA). The PPCA model captures the cluster structure of each class in a lower-dimensional subspace. This model is used to define the hyperparameters for the Mahalanobis kernel. Experimental results on simulated and real hyperspectral images show the PPCA-based Mahalanobis kernel achieves better classification accuracy than Gaussian and PCA-based kernels. Future work includes optimizing the hyperparameters and estimating the number of principal components.
Different kind of distance and Statistical DistanceKhulna University
A short brief of distance and statistical distance which is core of multivariate analysis.................you will get here some more simple conception about distances and statistical distance.
Principal Component Analysis For Novelty DetectionJordan McBain
This document summarizes a journal article that proposes using principal component analysis (PCA) for novelty detection in condition monitoring applications. It describes how PCA can be used to reduce the dimensionality of feature spaces while retaining most of the variation in the data. The authors modify the standard PCA technique to maximize the difference between the spread of normal data and the spread of outlier data from the mean of the normal data. They validate the approach on artificial and machinery vibration data and show it can effectively distinguish outliers. Future work could involve extending the technique to non-linear data using kernel methods.
Analyzing Kernel Security and Approaches for Improving itMilan Rajpara
The document discusses analyzing and improving kernel security. It describes how kernels work and why kernel security is important. Methods for analyzing kernel security like DIGGER are presented, which can identify critical kernel objects like pointers without prior knowledge. The document also discusses approaches for improving kernel security, such as protecting generic pointers with techniques like Sentry that control access to kernel data structures through object partitioning. Future work areas include automatically detecting all kernel data structures and expanding Sentry's protections.
Modeling and forecasting age-specific mortality: Lee-Carter method vs. Functi...hanshang
The document discusses four topics: 1) the Lee-Carter model for modeling and forecasting age-specific mortality rates, 2) nonparametric smoothing of functional data, 3) functional principal component analysis (FPCA) as a dimension reduction technique, and 4) functional time series forecasting. FPCA decomposes the variability in functional data into orthogonal principal components to extract the most important patterns in the data with few dimensions.
Explicit Signal to Noise Ratio in Reproducing Kernel Hilbert Spaces.pdfgrssieee
This document presents a new nonlinear kernel feature extraction method called Kernel Minimum Noise Fraction (KMNF) for remote sensing data. KMNF is based on the Minimum Noise Fraction transformation but estimates noise explicitly in a reproducing kernel Hilbert space, allowing it to handle nonlinear relationships between signal and noise features. The authors introduce KMNF and compare it to other feature extraction methods like PCA, MNF, and KPCA on a hyperspectral image classification task.
Regularized Principal Component Analysis for Spatial DataWen-Ting Wang
This document presents a method for regularized principal component analysis (PCA) of spatial data. Standard PCA can produce unstable and noisy patterns when applied to spatial data due to high estimation variability from small sample sizes or large numbers of locations. The proposed regularized PCA incorporates spatial structure, sparsity, and orthogonality of the eigenvectors to enhance interpretability. It formulates a rank-K spatial model for the data and aims to estimate the dominant spatial patterns represented by orthogonal functions through regularized PCA.
DataEngConf: Feature Extraction: Modern Questions and Challenges at GoogleHakka Labs
By Dmitry Storcheus (Engineer, Google Research)
Feature extraction, as usually understood, seeks an optimal transformation from raw data into features that can be used as an input for a learning algorithm. In recent times this problem has been attacked using a growing number of diverse techniques that originated in separate research communities: from PCA and LDA to manifold and metric learning. The goal of this talk is to contrast and compare feature extraction techniques coming from different machine learning areas as well as discuss the modern challenges and open problems in feature extraction. Moreover, this talk will suggest novel solutions to some of the challenges discussed, particularly to coupled feature extraction.
This is a presentation that I gave to my research group. It is about probabilistic extensions to Principal Components Analysis, as proposed by Tipping and Bishop.
Principal component analysis and matrix factorizations for learning (part 1) ...zukun
This document discusses principal component analysis (PCA) and matrix factorizations for learning. It provides an overview of PCA and singular value decomposition (SVD), their history and applications. PCA and SVD are widely used techniques for dimensionality reduction and data transformation. The document also discusses how PCA relates to other methods like spectral clustering and correspondence analysis.
Principal Component Analysis and ClusteringUsha Vijay
Identifying the borrower segments from the give bank data set which has 27000 rows and 77 variable using PROC PRINCOMP. variables, it is important to reduce the data set to a smaller set of variables to derive a feasible
conclusion. With the effect of multicollinearity two or more variables can share the same plane in the in dimensions. Each row of the data can
be envisioned as a 77 dimensional graph and when we project the data as orthonormal, it is expected that the certain characteristics of the
data based on the plots to cluster together as principal components. In order to identify these principal components. PROC PRINCOMP is
executed with all the variables except the constant variables(recoveries and collection fees) and we derive a plot of Eigen values of all the
principal components
The document provides information about electrocardiography (EKG/ECG). It describes the conduction system of the heart and how electrical signals are conducted to trigger heart contractions. It explains how an EKG works, including electrode placement and what different parts of the EKG waveform represent. It also covers how to interpret an EKG, such as measuring heart rate and identifying abnormalities. Common abnormalities, their causes, and clinical significance are discussed.
Introduction to Statistical Machine Learningmahutte
This course provides a broad introduction to the methods and practice
of statistical machine learning, which is concerned with the development
of algorithms and techniques that learn from observed data by
constructing stochastic models that can be used for making predictions
and decisions. Topics covered include Bayesian inference and maximum
likelihood modeling; regression, classi¯cation, density estimation,
clustering, principal component analysis; parametric, semi-parametric,
and non-parametric models; basis functions, neural networks, kernel
methods, and graphical models; deterministic and stochastic
optimization; over¯tting, regularization, and validation.
This document summarizes research conducted on the Forest Glen community in Chicago to identify strategies for engaging residents in the city's Climate Action Plan. Key findings include:
1) The area is made up of stable, middle-class neighborhoods anchored by civic organizations, schools, and churches that foster community involvement.
2) Influential community associations and chambers of commerce collaborate closely on issues and help shape neighborhood development through civic participation.
3) Residents value the area's historic character, proximity to forest preserves, and sense of safety and stability in single-family homes.
Evaluation of Community Gardens
`
For more information, Please see websites below:
`
Organic Edible Schoolyards & Gardening with Children =
http://scribd.com/doc/239851214 ~
`
Double Food Production from your School Garden with Organic Tech =
http://scribd.com/doc/239851079 ~
`
Free School Gardening Art Posters =
http://scribd.com/doc/239851159 ~
`
Increase Food Production with Companion Planting in your School Garden =
http://scribd.com/doc/239851159 ~
`
Healthy Foods Dramatically Improves Student Academic Success =
http://scribd.com/doc/239851348 ~
`
City Chickens for your Organic School Garden =
http://scribd.com/doc/239850440 ~
`
Simple Square Foot Gardening for Schools - Teacher Guide =
http://scribd.com/doc/239851110 ~
The document provides an overview of Stockton's Climate Action Corps program, which places fellows in local organizations to work on environmental and climate-related projects. It summarizes the missions and projects of several host organizations, including Greater Valley Conservation Corps, San Joaquin County Office of Education, Little Manila Rising, Stockton Service Corps, and Third City Coalition. It also features short profiles on several fellows, including the projects and goals of their service. The goal of the lookbook is to coordinate partners and highlight the work of Stockton's Climate Action Corps fellows.
Kathy Sykes presented on EPA's Building Healthy Communities for Active Aging Awards program. She discussed how smart growth approaches like mixed-use development, affordable housing, and transportation options can promote active aging. The program awarded 21 communities that took collaborative, cross-sector approaches to address aging needs through community design. Common themes among winners were strong partnerships, addressing affordability and accessibility, and prioritizing independent living. Sykes concluded that lasting change requires leadership and multiple stakeholders working together towards shared goals of health and participation for all ages.
Kathy Sykes presented on EPA's Building Healthy Communities for Active Aging Awards program. She discussed how smart growth approaches like mixed-use development, affordable housing, and transportation options can promote active aging. The awards program received over 20 applications and selected winners that demonstrated strong partnerships and lasting policy changes. Examples included affordable senior housing, walking trails, and programs to address health and social isolation. Sykes concluded that making communities age-friendly requires leadership and collaboration across many stakeholders.
The document discusses two charrette sites in Blacksburg, Virginia that were the focus of an "Xtreme LA" event hosted by Virginia Tech. For the former middle school site (called "Middle Hill"), the team proposed mixed-use and mixed-density housing, connected open spaces, and pedestrian-friendly streets to create a diverse, connected new neighborhood. For the second site ("The Cradle") between a forest and trail, the team proposed preserving ecology, increasing connectivity and green space, and higher density housing while protecting natural areas. The charrette brought together professionals and students to develop creative planning solutions for managing growth in Blacksburg through sustainable development.
This document provides an overview of an evaluation of Community Gardens programs administered by the University of Wisconsin Cooperative Extension. It describes the different types of community garden programs (rental, youth, and food pantry gardens) and introduces the specific gardens that were selected for evaluation. The selected gardens included four rental gardens (one being newly established), two youth gardens, and one food pantry garden across Milwaukee, Waukesha, and Kenosha counties. The summary describes the characteristics and contexts of each selected garden site, including land access challenges some have faced.
Community Gardens Benefits
`
For more information, Please see websites below:
`
Organic Edible Schoolyards & Gardening with Children =
http://scribd.com/doc/239851214 ~
`
Double Food Production from your School Garden with Organic Tech =
http://scribd.com/doc/239851079 ~
`
Free School Gardening Art Posters =
http://scribd.com/doc/239851159 ~
`
Increase Food Production with Companion Planting in your School Garden =
http://scribd.com/doc/239851159 ~
`
Healthy Foods Dramatically Improves Student Academic Success =
http://scribd.com/doc/239851348 ~
`
City Chickens for your Organic School Garden =
http://scribd.com/doc/239850440 ~
`
Simple Square Foot Gardening for Schools - Teacher Guide =
http://scribd.com/doc/239851110 ~
The 4-H youth in Cathlamet, Washington worked to beautify their town through a series of cleanups and installations of dog waste stations in parks. Their efforts received positive community feedback and encouraged further involvement. As a result of 4-H's work, Cathlamet saw a decrease in vacant storefronts, an increase in business and an overall improved sense of community pride and beautification. The mayor recognized the transformative impact of the 4-H project on the town.
DUE 11AM ON SUNDAYClinical Assignment #2 EnvironmentalAlyciaGold776
DUE 11AM ON SUNDAY
Clinical Assignment #2: Environmental Health
This assignment will develop a beginning understanding of environmental health concepts in the community setting. Students will consider how HealthyPeople 2020 environmental health themes impact their community, and apply concepts such as “social justice” and “the greater good” in evaluating public health initiatives.
Learning Objectives
1. Describe the impact of various environmental public health hazards.
2. Investigate strategies that address solutions to environmental public health hazards.
3. Explore policy and legislation related to environmental health issues in the community.
Background
Students should familiarize themselves with HealthyPeople 2020’s Environmental Health objectives, which focus on 6 themes: 1) outdoor air quality; 2) surface and ground water quality; 3) toxic substances and hazardous wastes; 4) homes and communities; 5) infrastructure and surveillance; and 6) global environmental health.
Students can access https://www.healthypeople.gov/2020/topics-objectives/topic/environmental-health for more information.
Instructions for Individual Activity
Each student will choose one of the HealthyPeople 2020’s Environmental Health themes to investigate and explore how their community (chosen with Clinical Assignment #1: Community Assessment/Windshield Survey) is affected and impacted by this theme, as well as what is being done to address this environmental health theme to safeguard or improve societal and environmental health. Students should search relevant public/governmental agency websites and media/newspaper publications to help understand the situation from historical, present, and future oriented perspectives. The EPA’s My Environment website may also be helpful (https://www3.epa.gov/enviro/myenviro/). Students will then create a 2-page paper (approximately 500 words) that addresses the following:
· Briefly describe the selected environmental health theme.
· Discuss how the community is affected/impacted by this environmental health theme.
· Explore the selected environmental health situation from historical, present, and future-oriented perspectives.
· Discuss any strategies that are planned or have been implemented to address this environmental health theme to safeguard or improve societal and environmental health. Consider the barriers and facilitators for success of these strategies. Propose strategies if none are found.
· Within the paper, students should consider and address population health concepts such as “social justice” and “the greater good.”
· Student should utilize and appropriately cite relevant public/governmental agency websites and media/newspaper publications to substantiate their writing.
· Students will submit their APA formatted paper to Brightspace by the assigned due date.
Group activity
At the clinical site (or as directed by your clinical instructor), students will present and discuss their findings of the HealthyPeople 2020: ...
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The document reports on research conducted in Chicago's Southwest Side to identify strategies for engaging communities in the city's Climate Action Plan. It finds that the area has significant diversity and industrial infrastructure. Community organizations are more active and collaborate more in the southern areas, while northern areas have stronger civic associations linked to local institutions. The research involved interviews, focus groups, and events through partnerships with organizations like a local charter school and non-profit. It aims to provide recommendations to translate findings into climate engagement activities.
Enhancing Local Access to Induce the Region's Inclusive EconomyPriceCSI
This document proposes social innovation solutions to enhance local access and economic opportunity in the Los Angeles region. It focuses on the city of Huntington Park as a case study. Key points discussed include: improving access to education, increasing affordable housing through various financing strategies, and reimagining recreational spaces by enhancing the Los Angeles River corridor and bringing ocean access inland through a proposed wave pool for the 2028 Olympics. An action plan is outlined to establish an Enhanced Infrastructure Financing District in Huntington Park focused on housing, education, and recreation as a potential model for the region.
This document summarizes research conducted on the Austin community in Chicago to identify strategies for engaging residents in the city's Climate Action Plan. Key findings include:
1) Austin has a mix of homeowners and renters, with community organizations tracing their origins to efforts addressing issues like affordable housing, crime, and healthcare.
2) These organizations now provide multiple services while continuing community organizing efforts around political and social issues.
3) Stakeholder partnerships and relationship-building are important strategies in Austin, with coalitions addressing issues and programs in both formal and informal configurations.
Document 2009 la finca del sur / sbufcAresh Javadi
The South Bronx Urban Farmer Collaborative (SBUFC) is seeking volunteers to help develop an urban farm at 138th Street and Grand Concourse in the Bronx. The farm will be open Fridays from 5pm to sunset and Saturdays and Sundays from 1pm to sunset. SBUFC is a group of community gardeners and farmers committed to creating a productive urban farm to serve the local community and provide fresh produce, education, and community space. The document provides details on ownership of the land parcels, the vision and goals for the farm, plans for its development, and the history and accomplishments of SBUFC to date.
The South Bronx Urban Farmer Collaborative (SBUFC) is seeking volunteers to help develop an urban farm at 138th Street and Grand Concourse in the Bronx. The farm will be operated by a collaborative of community gardeners and farmers and supported by local non-profits and organizations. Volunteers are needed on Fridays from 5pm to sunset, and Saturdays and Sundays from 1pm to sunset, to help with tasks like moving wood chips and compost, planting flowers and herbs, and starting seeds. The goal is to create an abundant and productive urban farm to provide fresh local produce and agriculture education to the surrounding community.
An introductory PowerPoint that explains the basics of Community Schools, the Licton Springs (Wilson-Pacific) site, and the possibilities for developing a Community Schools Campus on this site during the next Seattle Public Schools capital levy, BEX IV.
Community Gardens Growing Big in DC
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For more information, Please see websites below:
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http://scribd.com/doc/239851214
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http://scribd.com/doc/239851079
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1) The Parks Alliance worked on many projects in 2016, including opening new parks like Playland at 43rd Avenue and Tunnel Top, and renovating playgrounds like Larsen and Joe DiMaggio.
2) They helped pass Prop B which will provide stable funding for SF parks for the next 30 years.
3) The Parks Alliance is working to create a continuous 13-mile Blue Greenway along SF's southeast waterfront, and launched a website to engage the community in development plans.
Global Youth Service Day in 2011 engaged over 550,000 youth volunteers in 3,502 projects across 102 countries. Over $1 million in grants were distributed to support these projects. Some notable projects included students in Minnesota organizing a service event at the Mall of America and over 5,000 university students in South America building housing for families affected by natural disasters. Planning has already begun for Global Youth Service Day in 2012.
1. Survey on Community Issues for the
Kings Park Civic Association
October, 2008
2. Mason Center for Social Science Research 1
Survey on Community Issues
for the Kings Park Civic Association
Executive Summary
This survey of Kings Park residents was conducted by the Kings Park Civic Association (KPCA),
Fairfax County and George Mason University’s Center for Social Science Research (CSSR) as part
of the Kings Park Civic Association’s Community Revitalization Project. The survey was designed
to assess residents’ opinions and preferences on issues facing the Kings Park neighborhood. A total
of 272 completed surveys were received from the 1,160 households in the community. This survey
found that most residents have lived in Kings Park for over 15 years. About 30% of households had
children under age 18, while 42% had at least one resident over age 65. Residents were evenly split
on their opinions about whether the quality of life in Kings Park is getting better, staying the same
or getting worse. Residents generally agreed with such statements as “people generally help each
other out, people volunteer for community activities, and KPCA helps make it a better
neighborhood.” KPCA generally had a strong favorability rating from residents.
What residents most appreciated about Kings Park is its geographical location for the commute to
work and for local nearby amenities. To a lesser extent residents also appreciated the friendliness of
neighbors, the beauty of the old growth trees, the frequent, fun community activities, the quality of
local schools, the peacefulness of the community, and the large yards and well-built homes. In
regards to what residents would like to see changed in Kings Park, the most common concern was
general upkeep of homes: residents were upset about uncut lawns, trash in yards, homes in
disrepair, and foreclosed homes. Other concerns dealt with parking issues and overcrowded homes.
Due to the combination of homes in disrepair, parking issues and overcrowded homes some
residents expressed interest in more code enforcement. Speed and traffic control was also
mentioned as a concern by some residents. Other, less frequently cited concerns included a lack of
friendliness by neighbors, limited functionality of local parks, and the size of remodeled homes.
Also, some residents expressed interest in re-initiating homeowner’s association bylaws to help
enforce local codes. Finally, some residents suggested developing a system whereby neighbors
could identify which neighbors need help with general upkeep, so that they could offer their
assistance.
In sum, there were many strong points which the community can build on as it seeks to build a
sense of commonness among Kings Park residents and generate vitality within the community.
There were also several complex, yet serious, issues that must be resolved to allow residents to
focus their energy on improving the quality of life of their community. Any questions regarding
this report can be addressed to John Cook at KPCA or the Center for Social Science Research at
703-993-2993.
3. Mason Center for Social Science Research 2
Introduction and Background
A survey of Kings Park residents was conducted by the Kings Park Civic Association (KPCA),
Fairfax County and George Mason University’s Center for Social Science Research (CSSR) as part
of the Kings Park Civic Association’s Community Revitalization Project. The survey was designed
to assess residents’ opinions and preferences on issues facing the Kings Park neighborhood. This
report summarizes the findings of the survey and provides background information on the
neighborhood.
The Fairfax County Community Revitalization Project started in 2007 to study and respond to key
issues for older, established communities in the county. Its goal is to identify community problems
in older communities (1950s and 1960s) that may lead to deterioration, destabilization and conflict,
and then assist those communities in developing community-led efforts to respond to those
problems. It does so by assessing neighborhood expectations, identifying common problems as
expressed by community members, and countering those problems using diverse programs, training
tools, and community activities. Kings Park was selected as one of the participating communities,
in part due to support from County Supervisor Sharon Bulova and the interest of Kings Park
residents in improving the quality of life in their neighborhood.
Kings Park was established in the 1950s and 1960s along Braddock Road, a major thoroughfare in
Fairfax County. It is just one mile from the I-495 Capitol Beltway (built in 1955-1964) and three
miles to the I-395 corridor into Washington DC. The convenience of this central location with easy
access to main roads is an important aspect of this report’s findings. Kings Park has a large number
of older residents who have lived in the neighborhood for a long time. This microcosm exists
within a larger metropolitan area that has seen considerable social, economic, and cultural change.
Hence, there exist such problems as inter-generational differences (older retired neighbors versus
new, younger neighbors); households with many vehicles which impact neighbors; cultural and
language differences with the growing Asian and Hispanic populations; and upkeep of homes,
including expansion of older homes. The challenges involved in responding to these current
community problems and helping the Kings Park community build and maintain energy and vitality
for the future are important to both local Kings Park residents and Fairfax County in general. As a
pilot project the Community Revitalization Project will also provide valuable insight for designing
community revitalization processes for other communities.
The local schools are also central to this report’s findings, and are large, ethnically diverse and good
schools academically. Kings Park Elementary School (KPES), for grades K-3, is located within
Kings Park, and Kings Glen ES, for grades 4-6, is only half a mile from Kings Park. Most Kings
Park public elementary students go to these two schools, which are unique in that they are able to
specialize more for each age group (grades K-3 and 4-6), due to local population densities. Kings
Park ES had 714 students in the 2007-8 school year, with an average of 173 students per grade
level1
, while Kings Glen ES had 501 students that year, with an average of 167 per grade.2
The
average cost per pupil is $10,463 for the Fairfax County School District. Lake Braddock Secondary
School, located about 1 mile from Kings Park, is one of the largest in Virginia with 3,873 students.3
1
Source: http://www.city-data.com/school/kings-park-elementary-school-va.html
2
Source: http://www.city-data.com/school/kings-glen-elementary-school-va.html
3
Source: http://www.city-data.com/school/lake-braddock-secondary-school-va.html.
4. Mason Center for Social Science Research 3
It has a middle school for grades 7-8 and high school for grades 9-12. Lake Braddock was ranked
the 95th
best high school academically in the U.S. in the 2008 Newsweek ranking, with rankings
between 100 and 131 over the past three years.4
Fully 54% of its students have a passing grade in
an Advanced Placement class. Due to its large size, it is able to offer a large number of clubs (about
60), sports (about 20), and student government groups for students to join.5
Kings Park Civic Association’s website provides information on the variety of attractions and
public services in the area. Local groups include the Boy and Girl Scouts, Kings Park Band, several
churches, and Parent-Teacher Associations for local schools.6
Also nearby are a library, Post Office
and recreation center (Audrey Moore RecCenter) plus two nearby strip malls with supermarkets,
pharmacies, restaurants, banks, dry cleaning and other services. Kings Park currently has one pool,
Parliament Pool, and Kings Park Park, which offers tennis, basketball, picnic and playground areas.
Kings Park used to have a second pool, the Royal Pool, which was closed in the last few years. The
community is also adjacent to another large Fairfax County-run park, Lake Accotink, which offers
hiking, biking, boating, fishing, picnic areas, and playgrounds.
Kings Park residents and the civic association work to preserve the environment and maintain a
well-kept community. The neighborhood has a large number of old growth hardwood trees and a
newly formed Environmental Awareness Committee, and organizes many beautification projects.7
KPCA has worked to limit zoning violations, such as where the grass has grown above Fairfax
County regulations of 12 inches. Community members are encouraged to look out for each other
and to help each other out when they need help.
Kings Park Civic Association
Kings Park Civic Association is the primary local governance group for Kings Park. It is made up
of elected community members who address community issues and challenges, together with the
Fairfax County government. The neighborhood consists of single family homes that are required to
comply with Fairfax County zoning, health, and safety statutes. There are no homeowner’s
association regulations. Of the approximately 1,160 households in Kings Park, 500 are members in
KPCA.8
KPCA’s goal is to create a safe, attractive environment and to increase community
involvement among its members. Some of the programs used to gain this involvement include a
neighborhood watch, youth program, bimonthly gazette, block captains (to welcome new residents
and monitor zoning violations), and maintenance of common areas. The KPCA holds monthly
meetings where residents can raise concerns or suggestions. Events such as youth community
service, block parties, and parades are all hosted by KPCA in an effort to get members more
involved.
KPCA acts as an intermediary between community members and the Fairfax County government,
as with the current revitalization project.9
One of the current issues the KPCA is addressing is the
use of the community roads as a bypass for congestion, which has led to the community inserting
speed humps, low speed limits, four way stops, and traffic circles in an attempt to curb cut-through
4
Source: http://www.newsweek.com/id/39380
5
Source: http://www.fcps.edu/LakeBraddockSS/activities/act_hs_clubs.htm
6
Source: http://www.kings-park.org/index.html.
7
http://www.kings-park.org; KPCA July August 2008 Gazette
8
Communication with John Cook, President KPCA, October 24, 2008.
9
http://www.kings-park.org
5. Mason Center for Social Science Research 4
drivers.10
The KPCA also works to ensure foreclosed houses comply with zoning requirements
(especially concerning grass length), and limit boarding violations, especially multiple occupancy
violations, and parking violations. Residents are encouraged to report violations to Fairfax County
agencies.
KPCA Revitalization Project
KPCA is currently taking steps to revitalize the Kings Park neighborhood, attempting to create a
safe attractive environment in which members feel like they are part of a community. Part of this
work includes collaboration with the Fairfax County Park Authority to renovate Kings Park Park.
The KPCA wants to revitalize the park while at the same time making sure families, walkers, and
picnickers feel welcome. Possible plans include playground relocation (possibly to the site of the
now closed Royal Pool), installing picnic gazebos, and creating areas for athletes such as micro
soccer fields and a tennis wall.11
Many of the activities planned and hosted by the various
committees, such as the Fourth of July Parade, the Christmas Party, and the youth clean up project
are all part of the revitalization project designed to increase community involvement of members
who live in the neighborhood. Other parts of the project include outreach to seniors and minorities.
The new Environmental Awareness committee seeks to promote positive interaction of community
members with their environment. The emphasis on reporting zoning violations (such as boarding
and grass height) is another attempt of the revitalization project to keep Kings Park attractive.
Kings Park Demographics
Detailed, recent demographic information for the Kings Park community is difficult to obtain.
However, some data are provided from the 2000 U.S. Census12
and other data from Kings Park
Elementary School (KPES) enrollment. While the 2000 U.S. Census data is somewhat dated, it is
the best data available on Kings Park demographics, and may help to understand future
neighborhood changes (see Figure 1).13
Blocks 1 and 2 of the Fairfax County census tract 4304
provide pertinent data for Kings Park, but also include Danbury Forest, which has 326
townhomes.14
Note that about 85 of the 1,160 Kings Park homes are not in Census Tract 4304.
King Park is made up of all single family homes.
As can be seen on Table 1 below, U.S. Census data are helpful for understanding the context of the
Kings Park revitalization survey. Key demographic points include:
• Of the 1,411 households in the two census blocks, Kings Park has about 1,085 households
and Danbury Forest 326. About 16% are one person households, and married families make
up 70% of the 1,411 households.
• All households with six or more inhabitants are classified as family units, and 21% of family
units had five or more inhabitants. About 83% had 1 to 4 residents, and 17% had 5 or more.
• 2000 census data on tenancy shows 89% of homes were owner-occupied and 11% were
rental units. There were only 11 vacant homes.
10
http://www.washingtonpost.com/wp-dyn/content/article/2008/07/25/AR2008072503528.html
11
Kings Park JulyAugust Gazette
12
Source: http://factfinder.census.gov.
13
These changes may have occurred due to the spike in homes sales in the early part of the decade, recent foreclosures,
and recent purchases by minority families, especially Asian and Hispanic.
14
Source: http://www.danburyforest.org/editor_upload/File/Handbook.pdf. Note: one long block of homes between
Rolling Road, Kings Park Drive, Southampton and Kenilworth are not included in Tract 304 – see Figure 1, Block 2.
6. Mason Center for Social Science Research 5
• Census data on race and ethnicity show a predominantly (76%) white population, while 14%
of residents are Asian, 8% Hispanic and 4% African American. This can be compared with
KPES enrollment data, which shows 46% white, 21% Hispanic, 20% Asian, 6% black, and
8% other ethnicities (see Figure 2).15
• According to KPES data, in just the last three years, from 2005-6 to the 2007-8 school year,
the white population has declined from 51.4% to 46.1%, the Asian group increased from
16.5% to 19.6% and Hispanics from 19.4% to 21%, while Blacks increased 1%.
• Regarding ages, census data identifies 15% of residents as under age 18, and 6% over age
65. Fully 43% of households had children under 18, while 21% had elderly over 65.
• Regarding need levels for the 2007-8 school year, 129 (21%) out of 671 KPES children
qualified for free or reduced fare lunches. 16
Figure 1. Blocks 1 and 2, Fairfax County Census Tract 4304
Tract 4304, Block 1 Tract 4304, Block 2
Figure 2. Kings Park Elementary School student demographics
0
50
100
150
200
250
300
350
400
White Hispanic Asian Black Other
Numberofstudents
2005-6 2006-7 2007-8
Source: Fairfax County Public Schools, http://commweb.fcps.edu/schoolprofile/profile.cfm?profile_id=407
15
Source: http://commweb.fcps.edu/schoolprofile/profile.cfm?profile_id=407 Data on ethnicity trends of KPES is one
of the most current sources of ethnic data for the Kings Park community, but has limitations since some children attend
KPES from neighborhoods outside of Kings Park. Roughly about one-third of the children in KPES live in Kings Park.
For the KPES boundary map see: http://www.fcps.edu/images/boundarymaps/kingsparkes.pdf.
16
Source: http://commweb.fcps.edu/schoolprofile/profile.cfm?profile_id=407
7. Mason Center for Social Science Research 6
Table 1. U.S. Census 2000 data for Kings Park neighborhood
Type
Total from
Block 1
Percent of
total, this
block
Total from
Block 2
Percent of
total, this
block
Total, both
blocks
Percent of
total, both
blocks
Total population 2,152 2,091 4,243
Race & Ethnicity
White 1,691 79% 1,544 74% 3,235 76%
Asian 305 14% 296 14% 601 14%
Black/African American 63 3% 97 5% 160 4%
Other race 45 2% 89 4% 134 3%
Two or more races 46 2% 42 2% 88 2%
Hispanic/Latino 156 7% 171 8% 327 8%
Age demographics
Under age 18 317 15% 314 15% 631 15%
Over age 65 152 7% 85 4% 237 6%
Households * 692 719 1,411
1 person household 84 12% 136 19% 220 16%
2 or more people 608 88% 583 81% 1,191 84%
Married couple families 522 75% 461 64% 983 70%
Other family 59 9% 79 11% 138 10%
Male headed, no wife 17 2% 23 3% 40 3%
Female head, no husband 42 6% 56 8% 98 7%
With people under age 18 290 42% 323 45% 613 43%
With people over age 65 191 28% 112 16% 303 21%
With people over age 75 69 10% 36 5% 105 7%
Household size *
Family households total 581 540 1,121
2 person household 211 36% 186 34% 397 28%
3 person household 121 21% 112 21% 233 17%
4 person household 122 21% 137 25% 259 18%
5 person household 85 15% 73 14% 158 11%
6 person household 24 4% 19 4% 43 3%
7 or more person household 18 3% 13 2% 31 2%
Nonfamily households total 111 19% 179 33% 290 21%
1 person household 84 14% 136 25% 220 16%
2 person household 16 3% 23 4% 39 3%
3 person household 5 1% 12 2% 17 1%
4 or 5 person household 6 1% 8 1% 14 1%
Population in families 1,979 1,798 3,777
Average family size 3.41 3.33 n/a
Housing units 697 725 1,422
Owner occupied 642 92% 619 85% 1,261 89%
Renter occupied 50 7% 100 14% 150 11%
Vacant 5 1% 6 1% 11 1% S
ource: http://factfinder.census.gov 17
17
* The percentages of total households is based on total households, n=1,411.
8. Mason Center for Social Science Research 7
Kings Park Survey Data and Findings
Survey Methodology
The survey, implemented by GMU’s Center for Social Science Research (CSSR) in mid-2008, was
mailed to all 1,160 households in Kings Park.18
CSSR received and processed 272 responses, or
about 25%, from Kings Park residents. The survey focused on issues facing the community. The
questions included were: what residents liked most about Kings Park; what they would like
changed; whether KPCA helps to make the neighborhood better; how much people help each other
and volunteer in the community; whether other languages are spoken at home; and the ages of the
household members of respondents. This report summarizes the findings of the survey. It does so
by reviewing statistics and informative verbal responses for each question asked.19
General Demographics of Survey Respondents
Respondents were asked how long they have lived in Kings Park and the ages of each person living
in the house. As seen in the Table 1, Kings Park is indeed a well-established neighborhood, with
almost 70% of the respondents having lived in the neighborhood for more than 15 years (see Figure
3). This is noteworthy given the often transient nature of living in the Washington DC area due to
political changes, military rotations and other social and economic changes in recent years. Further,
only about 8% of the respondents have lived in Kings Park for less than five years. This data raises
many issues about the welcoming nature and openness of Kings Park, from the “old-timers” who
may see new neighbors as potentially leading to unwanted neighborhood change, on the one hand,
or as creating opportunities for diversity and growth, on the other.
Figure 3. Length of time living in Kings Park
0
20
40
60
80
100
120
140
160
180
200
less than
1 year
1 – 4
years
5 – 9
years
10 -14
years
15 or
more
years
Years
Numberofresidents
Based on the survey responses, an average of 2.65 people resides in each home, ranging from one
person per household to eight people per household. Just under one-third of households (30%) had
children under age 18. About 42% of households had at least one resident age 65 or older. About
13% of the Kings Park households speak a language other than English at home. These data from
18
A total of 44 surveys were returned by the U.S. Post Service due to incorrect addresses.
19
Regarding representativeness of these findings, given the sample size and response rate, there is a 95% confidence
level, within 5.15 percentage points.
9. Mason Center for Social Science Research 8
survey respondents differ somewhat from the 2000 U.S. Census data cited earlier, possibly due to
the aging population, both under age 18 and over 65.
Quality of Life and Volunteerism in Kings Park, and Opinions on KPCA
The first question asked “Thinking about the Kings Park neighborhood only, do you think the
quality of life is getting better, staying the same or getting worse.” Of the 251 responses to this
question, about 38% of respondents said the quality of life is staying the same, 32% said getting
worse, and 30% said getting better (see Figure 4). Written comments range from positive and
supportive on the quality of life to neutral and negative. On the positive side, respondents
mentioned efforts made by KPCA to improve the sense of community, block captain efforts to
network among neighbors, more community activities, home improvements being done by
homeowners, and increased ethnic diversity. Many negative comments focused on poorly kept
yards and homes, foreclosures, and parking problems. Other negative comments included homes
having multiple families living in them, thefts, noisy neighbors, not knowing the neighbors, and
lack of involvement by some community members.
Figure 4. Opinions on quality of life in Kings Park
Getting
better
30%
Staying
the same
38%
Getting
worse
32%
Opinions regarding quality of life were correlated with whether they thought residents helped each
other: those who thought quality of life was getting better were more likely to say that residents help
each other.20
Surprisingly, of those who thought the quality of life is getting worse, many still
thought people help each other (56% circled definitely or somewhat agree with the latter statement).
Comments related to quality of life in Kings Park and whether KPCA helps make it a better
neighborhood were also positively correlated: those resident who thought that the quality of life was
getting better were also more likely to say that KPCA helps make it a better neighborhood.21
Question four of the survey asked residents “How much do you agree or disagree with each of these
statements about Kings Park neighborhood?” The three statements include: “people in Kings Park
help each other out; people in Kings Park volunteer for community activities; and the Kings Park
20
This relationship was statistically significant (p=.001)
21
This relationship was statistically significant (p=.000)
10. Mason Center for Social Science Research 9
Civic Association helps make this a better neighborhood.” For each statement, respondents were
asked if they definitely agree, somewhat agree, somewhat disagree, definitely disagree, or don’t
know. See Table 2 for responses.
Table 2. Responses to helping, volunteering and KPCA
Definitely
agree
Somewhat
agree
Somewhat
disagree
Definitely
disagree
Total
respons
es
Statement
# % # % # % # %
People in Kings Park help
each other out
77 31% 142 58% 16 7% 11 5% 246
People in Kings Park
volunteer for community
activities
46 21% 144 65% 24 11% 8 4% 222
Kings Park Civic
Association helps make
this a better neighborhood
165 66% 70 28% 8 3% 5 2% 248
On the issue of whether Kings Park residents help each other out, the vast majority agree with this
statement: only about 12% disagree. Thus, there is a widely held perception among most residents
that they offer and/or receive assistance from their neighbors. As to whether Kings Park residents
volunteer for community activities, again the majority (86%) state that they think residents
volunteer for community activities, with about 15% disagreeing.
As to residents’ perceptions of whether KPCA helps make it a better neighborhood, fully 66% of
residents definitely agree with that statement, and another 28% agree somewhat. Only 5% disagree.
Simply put, there is a broad perception among residents that KPCA helps improve the
neighborhood. Some people suggested other roles for KPCA including: reinstating a Homeowner’s
Association-type government with covenants to control unkempt houses and large remodeling
projects; facilitating other community development projects like park and pool renovations; and
reducing costs of cutting down and trimming back large growth trees. Finally, a number of
comments simply expressed pleasure with and support for the activities of KPCA, such as the
potluck and parade, or displeasure at KPCA management and controls.
What People Like Most about Living in Kings Park
The survey asked Kings Park community members “What three things do you like the most about
living in Kings Park.” There were over 738 responses to this question. We grouped the responses
by similarity of issues and frequency (see Figure 5). Below are the findings of the key issues:
• Geographical location: The most common aspect that community members liked about
Kings Park is the geographical location of Kings Park for their everyday lives. These
responses (n=185) are best evidenced by such comments as “convenient,” “location,” being
near schools, stores, and Lake Accotink Park, or just being close to everything.
• Ease for commute: Separate from, but related to, the first comment is the convenient
location for the commute to work and Washington DC, via the Beltway, public transport,
and buses. A total of 90 people mentioned this issue. While the first set focused on local
places, this set of responses addressed locations slightly further away geographically.
• Friendly neighbors: The second most common response (n = 100), was related to
neighbors. Respondents stated that they like Kings Park because the neighbors are good and
11. Mason Center for Social Science Research 10
people are friendly, quiet, respectful, and responsible. They also said that there are many
children for their children to play with.
• Peaceful community: Again, similar to, yet slightly different from, the previous issue, was
another set of comments (n=38) regarding Kings Park as a community that is peaceful, quiet
and calm. While the previous set of comments addressed the people, this set focused more
on the community setting. People who have lived in Kings Park for 15 years or more were
even more likely to comment that Kings Park is calm and peaceful.
• Physical environment: The fourth most common reason given (n=63) was the physical
environment, including mature trees and green spaces. Interestingly, people who have lived
in Kings Park longer were more likely to state that trees and green space are what they like
most about Kings Park.22
• Community events: Events and activities were mentioned next (n = 51). These include
parades and parties, as well as the overall sense of community that exists in Kings Park.
• Good schools: The quality of schools in the area, including both elementary and high
schools were mentioned next (n = 42 people). These responses did not consider the
closeness of the schools, instead focusing more on their quality (closeness was included
under the first bulleted item above).
• Large yards and good homes: Respondents mentioned their appreciation of the large, well-
maintained yards and the quality of home construction in Kings Park (n= 36). Many people
stated that the yards were much larger than many others in the area and, while the homes are
somewhat older, they were well-built and have weathered the years very well.
Figure 5. What residents like most about Kings Park
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eographicallocation
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22
This relationship was statistically significant (p=.067)
12. Mason Center for Social Science Research 11
What People Would Like to Change in Kings Park
The third survey questioned explored issues that Kings Park residents see as problems or
challenges. Respondents were asked “What three things would you like to see changed in Kings
Park?” There were over 611 responses. Similar responses were grouped together to create the list
below (see Figure 6).
• General upkeep: The general upkeep of homes, including cutting the lawn, removing trash,
painting or repairing broken down houses, removing clutter and unsightly objects from front
yards, carports used for storage, and similar maintenance and upkeep issues was mentioned
most often (n = 117). While many people had mentioned in the previous question that the
general maintenance of most homes was good, many responses to this change question
noted that a small number of homes need significant work and are often in a regular state of
disrepair. Uncut lawns and foreclosed homes were mentioned as particular problems.
Suggestions included having twice a year cleanup days, especially to coordinate leaf pickup.
These comments were often accompanied by comments about code enforcement, which will
be addressed more below.
• Parking: Parking was the second most common set of issues (n=67). These comments
mentioned an excess of cars in front of or associated with some houses (as many as 6 to 8),
derelict cars that hadn’t been moved in a long time, and vehicles parked on lawns. Also
commented on were commercial and recreational vehicles parked on public streets, blocking
views or curtailing the home owner’s use of that space. A number of these comments also
mentioned code enforcement.
• Code enforcement: Many comments directly addressed concerns about code enforcement
(n=59), whether by KPCA, Fairfax County agencies, or the police. Residents mentioned
enforcement related to parking, multiple families living in one house, traffic laws, and in a
few cases, upkeep of homes. Several of these comments suggested having a homeowner’s
association that would have more power to enforce codes and regulations. Generally most
of the comments regarding upkeep of homes comments noted in the first group bullet did not
mention code enforcement.
• Speed control: Speed control and traffic issues were the fourth most common responses
(n=49). About half of the comments were concerned with cut through by drivers who live
outside of Kings Park and half were concerned with speed control, especially on main
streets. On the other hand, some respondents noted very specifically that they would like
Kings Park to remove all speed bumps. Hence, there is not consensus on whether speed
bumps should be used to control traffic speeds. Related to this issue were a large number of
comments regarding code enforcement, as well as a smaller set of concerns about removing
roundabouts, adding or removing four-way stops at key intersections, and changing flows on
Eastbourne Drive.
• Overcrowding in homes: Following this were comments about having too many families in
one house (n= 48). Comments included statements such as “too many families in one
house,” “we don’t want boarding houses,” and “no overcrowded rental units.” Many of
these comments were related to concerns about parking and code enforcement as well.
13. Mason Center for Social Science Research 12
• More friendliness: Comments on changes in the friendliness and sense of community
within Kings Park (n=39) included interest in increasing friendliness, sense of community,
and pride in homeownership, along with having more community events and activities.
• Improving parks: Improving local parks and pools was mentioned (n=35). Most of these
responses requested improving Kings Park Park, such as adding playground equipment,
flowers, and a pavilion or community center. They also noted trimming or thinning out
trees, and improving general maintenance. Other related comments addressed the use of the
old Royal Pool site for playground equipment or a pavilion; and improving the Parliament
Pool area and parking lot, and reducing pool fees (such as adding a day fee option).
• Limiting size of remodeled homes: A small group of people (n=10) commented that they
would like to see limits on home remodeling and the development of McMansions in the
neighborhood.
Given the broader issue of revitalization and the role of incoming ethnic groups as part of the
broader economic, social and cultural change, one noteworthy finding was that there were only
a small number of responses that specifically mentioned ethnic groups or immigration. The lack
of such comments may point to minimal differences between ethnic groups in Kings Park.
Figure 6. What residents would like to see changed in Kings Park
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Some other issues that were mentioned with less frequency included:
• Putting utility lines underground.
• Dog handling – complying with leash laws and cleaning up after pets.
• Fixing cracks in the sidewalks and having homeowners cut shrubs and trees back from the
sidewalks so people can pass freely.
• Improving lighting.
• Trash pickup.
14. Mason Center for Social Science Research 13
• More senior citizen activities, and at hours that accommodate working seniors.
• That the KPCA was doing a good job or that nothing further needed to be done.
• Criminal problems, such as squatters moving into abandoned foreclosed houses, drug
dealing, and neighbors having loud parties.
One last, but significant, set of comments to the question of what people would like changed in
Kings Park deals with neighbors helping neighbors. Several people said they would like to see
ways that people can help each other. This included ways to identify which seniors need help with
the upkeep of their houses, and ways to identify which neighbors (in general) need help to maintain
their homes or yards. A number of people offered to help other neighbors. These comments
provide a potential launching point for the revitalization project, helping to incorporate those that
lack the knowledge, skills, and/or resources to maintain their homes and yards into the larger, more
established community.
Summary of findings and conclusions
This survey, based on a 25% response rate of Kings Park residents, finds that a large proportion of
residents have lived in Kings Park for a considerable period of time – over 15 years – with only a
small percentage having moved into the area in the last five years. About 30% of households have
children under age 18, while 42% have at least one resident over age 65. Residents are evenly split
on their opinions about whether the quality of life in Kings Park is getting better, staying the same
or getting worse.
What residents most appreciate about Kings Park is its geographical location for commutes to work
and for local amenities that are nearby. To a lesser extent, and in order of frequency, many
residents also appreciate the friendliness of neighbors, the beauty of the old growth trees, the
frequent, fun community events and activities, the quality of local schools, the peacefulness of the
community, and large yards and well-built homes.
In regards to what residents would like to see changed in Kings Park, the most common concern
was general upkeep of homes: residents were upset about uncut lawns, trash in yards, homes in
disrepair, and foreclosed homes. There may not be many homes that meet these criteria, but those
that do generate considerable displeasure from neighbors. Another set of comments dealt with
parking issues, which may be related to the problem of overcrowded homes. Residents concerned
stated that some homes had as many as 6 to 8 cars which impacted sight lines and parking options.
It should be noted that, based on 2000 Census data, all households with six or more inhabitants were
family units, not rental units, so overcrowded houses with too many cars is more likely to be due to
families with older children still living at home, than rental units with multiple inhabitants. The
combination of homes in disrepair, parking issues and overcrowded homes led about 25% of
residents to express interest in more code enforcement. Speed and traffic control was also
mentioned as a concern by some residents, partly due to traffic that cuts through Kings Park to
access Braddock Road and the Beltway. Less frequent concerns included more friendliness from
neighbors, improving local parks, and limiting the size of remodeled homes.
Other issues also stand out. Residents generally agree with such statements as “people generally
help each other out, people volunteer for community activities, and KPCA helps make it a better
neighborhood.” KPCA generally has a strong favorability rating from residents. Also, due to code
violations, some residents expressed interest in re-initiating some form of homeowner’s association
15. Mason Center for Social Science Research 14
bylaws to help enforce local codes. Finally, some residents suggested developing a system whereby
neighbors could identify which neighbors need help with upkeep of lawns, homes, and similar
tasks; some residents seemed open to offering their assistance to those in need.
In conclusion, it seems that most Kings Park residents are very pleased with their community and
can identify common aspects of the community which they appreciate. There is a strong sense that
many residents value and take advantage of community activities and amenities. At the same time,
a number of common issues seem to continue to be problems in the opinion of many residents.
They have made efforts to resolve these issues, but the lack of resolution may be causing continued
frustration. In sum, there are many strengths which the community and Kings Park Civic
Association can build on as it seeks to build a sense of commonness among Kings Park residents
and generate vitality within the community. There are also several complex yet serious (in terms of
the number of residents who are concerned and the depth of their displeasure) issues that must be
resolved to limit unproductive conflict and allow residents to focus on improving the quality of life
of their community.