X: Poems & Anti-Poems by Shane Rhodes

A review of Shane Rhodes\u27 X: Poems & Anti-Poems. This review focuses on the link between language and landscape, and considers the ways in which that link, reflected in Rhodes\u27 work, comments upon the use of language as an oppressive tool in the treatment of Native Americans and Canadians

Going Comprehensive: Anatomy of an Initiative That Worked -- CCRP in the South Bronx

Traces the story of the Comprehensive Community Revitalization Program (CCRP), a model approach to neighborhood redevelopment in the South Bronx that operated in concert with local nonprofit community development corporations

Learning Leaders: a multi-method evaluation, final report

This report investigates findings arising from a variety of forms of feedback on Cumbria Partnership Foundation Trust’s “Learning Leaders” Programme (henceforth LLP) running from 2012-2013

Leadership development programme: a multi-method evaluation

This report investigates findings arising from a variety of forms of feedback provided by the first cohort of participants (2012-2013) in Cumbria Partnership Foundation Trust’s “Leadership Development” Programme (LDP). The report summarises both quantitative and qualitative feedback, and synthesises findings to provide a more three-dimensional overview of participant experience and systemic impact. Feedback reflects, throughout, the diversity of the participating cohort in terms of professional roles and levels of seniority

Analysis of the dynamics of shifting cultivation in the tropical forests of Northern Thailand using LANDSAT modeling and classification of LANDSAT imagery

There are no author-identified significant results in this report

Measuring Distributive Injustice on a Different Scale

Miller highlights the importance of education as a powerful contributor to significant differences in health outcomes. Enhancing educational opportunities for lower-income Americans may help to ensure that only no child, but also no patient, is left behind

Remote sensing inputs to landscape models which predict future spatial land use patterns for hydrologic models

A tropical forest area of Northern Thailand provided a test case of the application of the approach in more natural surroundings. Remote sensing imagery subjected to proper computer analysis has been shown to be a very useful means of collecting spatial data for the science of hydrology. Remote sensing products provide direct input to hydrologic models and practical data bases for planning large and small-scale hydrologic developments. Combining the available remote sensing imagery together with available map information in the landscape model provides a basis for substantial improvements in these applications

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

Criteria for Corporate Investment Decisions: Comparison of Cash Flow and Accounting Based Approaches

Cash flow based and accounting based criteria for corporate investment decisions are examined and compared. Even though one approach uses cash flows and the other approach uses accounting numbers, the values of the metrics produced, net present value and market value added, are shown to be identical. Use of net present value and market value added produce the same corporate investment decisions