Inventory of available data elements for the San Bernardino, California region

Elements of data sets that are available to be integrated for the San Bernardino vertical data integration project are given. Each of the data sets has specified for it the ownership, validity, accuracy and technical requirements for integration

CIRSS vertical data integration, San Bernardino study

The creation and use of a vertically integrated data base, including LANDSAT data, for local planning purposes in a portion of San Bernardino County, California are described. The project illustrates that a vertically integrated approach can benefit local users, can be used to identify and rectify discrepancies in various data sources, and that the LANDSAT component can be effectively used to identify change, perform initial capability/suitability modeling, update existing data, and refine existing data in a geographic information system. Local analyses were developed which produced data of value to planners in the San Bernardino County Planning Department and the San Bernardino National Forest staff

Systematic monitoring and evaluation of M7 scanner performance and data quality

An investigation was conducted to provide the information required to maintain data quality of the Michigan M7 Multispectral scanner by systematic checks on specific system performance characteristics. Data processing techniques which use calibration data gathered routinely every mission have been developed to assess current data quality. Significant changes from past data quality are thus identified and attempts made to discover their causes. Procedures for systematic monitoring of scanner data quality are discussed. In the solar reflective region, calculations of Noise Equivalent Change in Radiance on a permission basis are compared to theoretical tape-recorder limits to provide an estimate of overall scanner performance. M7 signal/noise characteristics are examined

Victim Worthiness: The Effect of Media Coverage on the Portrayal of Homicide Victims

In the last thirty years with the growth of 24-hour news channels, Internet only news sites and the decline of the newspaper, there have been tremendous changes in how the media covers crimes. Whether it is a catastrophic terrorist attack, school shooting or a low-profile homicide, violent crime is a staple of news coverage. The field of victimology has documented that the media does not portray all crime victims the same. The race and class of the victim as well as seemingly non-relevant factors such as their age, profession and the location of the crime as well as the demographics of the offender all influence public portrayals of crime victims. Scholars refer to these factors as influencing “victim worthiness.” Victim worthiness can have an influence on jury selection, prosecutorial discretion and sentencing (Stabile, 2006). Utilizing computer content analysis, this study examined three case studies of violent crime, analyzing the news coverage and its impact on “victim worthiness.” The hypothesis of this study was there would be media bias in the portrayal of homicide victims due to “extralegal” factors (e.g. race, age, status, etc.) of either the victim (s) and/or the offender The findings of this study suggest mixed findings in support of the hypothesis. Research Question & Hypothesis Is there a media bias in the portrayal of homicide victims? This study examined whether there was a media bias in the portrayal of homicide victims. Our hypothesis was that there would be discernible media bias in the portrayal of homicide victims due to “extralegal” factors (e.g. race, age, status, etc.) of either the victim (s) and/or the offender

Spatial land-use inventory, modeling, and projection/Denver metropolitan area, with inputs from existing maps, airphotos, and LANDSAT imagery

A landscape model was constructed with 34 land-use, physiographic, socioeconomic, and transportation maps. A simple Markov land-use trend model was constructed from observed rates of change and nonchange from photointerpreted 1963 and 1970 airphotos. Seven multivariate land-use projection models predicting 1970 spatial land-use changes achieved accuracies from 42 to 57 percent. A final modeling strategy was designed, which combines both Markov trend and multivariate spatial projection processes. Landsat-1 image preprocessing included geometric rectification/resampling, spectral-band, and band/insolation ratioing operations. A new, systematic grid-sampled point training-set approach proved to be useful when tested on the four orginal MSS bands, ten image bands and ratios, and all 48 image and map variables (less land use). Ten variable accuracy was raised over 15 percentage points from 38.4 to 53.9 percent, with the use of the 31 ancillary variables. A land-use classification map was produced with an optimal ten-channel subset of four image bands and six ancillary map variables. Point-by-point verification of 331,776 points against a 1972/1973 U.S. Geological Survey (UGSG) land-use map prepared with airphotos and the same classification scheme showed average first-, second-, and third-order accuracies of 76.3, 58.4, and 33.0 percent, respectively

Textbooks and Philosophers on the Problematic Relationship Between Citizens and Non-Citizens

Despite some clear indicators of citizenship, such as holding a passport for a given country, the line separating citizens from non-citizens is often rather blurry

How to Set Up and Configure the PI System

This paper is designed to help the next generation or the next individual to be able to set up/install/connect the PI system on a computer and create the working server for PI. Through the next parts it will be step by step instruction for doing this