Native Grassland Conversion: the Roles of Risk Intervention and Switching Costs

We develop a real option model of the irreversible native grassland conversion decision. Upon plowing, native grassland can be followed by either a permanent cropping system or a system in which land is put under cropping (respectively, grazing) whenever crop prices are high (respectively, low). Switching costs are incurred upon alternating between cropping and grazing. The effects of risk intervention in the form of crop insurance subsidies are studied, as are the effects of cropping innovations that reduce switching costs. We calibrate the model by using cropping return data for South Central North Dakota from 1989 to 2012. Simulations show that a risk intervention that offsets 20% of a cropping return shortfall increases the sod-busting cost threshold, below which native sod will be busted, by 41% (or $43.7/acre). Omitting cropping return risk across time underestimates this sod-busting cost threshold by 23% (or $24.35/acre), and hence underestimates the native sod conversion caused by crop production.

Effects of blocking farm minkś feed access with open water

Selostus: Tarhatun minkin syömään pääsyn estäminen vesialtaalla

Learning wind fields with multiple kernels

This paper presents multiple kernel learning (MKL) regression as an exploratory spatial data analysis and modelling tool. The MKL approach is introduced as an extension of support vector regression, where MKL uses dedicated kernels to divide a given task into sub-problems and to treat them separately in an effective way. It provides better interpretability to non-linear robust kernel regression at the cost of a more complex numerical optimization. In particular, we investigate the use of MKL as a tool that allows us to avoid using ad-hoc topographic indices as covariables in statistical models in complex terrains. Instead, MKL learns these relationships from the data in a non-parametric fashion. A study on data simulated from real terrain features confirms the ability of MKL to enhance the interpretability of data-driven models and to aid feature selection without degrading predictive performances. Here we examine the stability of the MKL algorithm with respect to the number of training data samples and to the presence of noise. The results of a real case study are also presented, where MKL is able to exploit a large set of terrain features computed at multiple spatial scales, when predicting mean wind speed in an Alpine region.

Assessing the Costs for Hybrid versus Regular Transit Buses, October 2012

This technical brief summarizes information about the costs and benefits that have been attributed to use of hybrid transit buses as found in the literature. Results from a demonstration project that compared fuel economy and emissions for 12 hybrid buses and 7 control buses for the transit agency for Ames, Iowa and Iowa State University, CyRide, were also included.

How Much Does It Cost? Optimization of Costs in Sequence Analysis of Social Science Data

One major methodological problem in analysis of sequence data is the determination of costs from which distances between sequences are derived. Although this problem is currently not optimally dealt with in the social sciences, it has some similarity with problems that have been solved in bioinformatics for three decades. In this article, the authors propose an optimization of substitution and deletion/insertion costs based on computational methods. The authors provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. Using three distinct data sets, the authors tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost schemes associated with other research strategies. The proposed method performs well compared with other cost-setting strategies, while it alleviates the justification problem of cost schemes.

City of Oakville public assistance grants independent auditor’s reports, schedule of expenditures of federal awards, schedule of findings and questioned costs, year ended june 30, 2009.

Audit report on the City of Oakville, Iowa for the year ended June 30, 2009.

Iowa Byways: The Official Guide to Iowa Byways, 2013

Browse through this guide and you’ll find the distinct flavor of what is available along each byway. Discover recreational, historic, cultural and scenic attractions using the maps and lists provided in the guide. You’ll find numbered attractions for each byway in or near the town listed. For a comprehensive list of byway features, visit www.iowabyways.org. Friendly local contacts are provided to help you along the way. Iowa Transportation Maps clearly tracking all the Iowa byways with red dotted lines are available at Iowa’s official welcome centers. Traveling Iowa’s byways you will experience small town America, while enjoying diverse landscapes and unique landforms that have been shaped over thousands of years. Iowa’s cultural heritage also plays a major role across all 11 byways, boasting hundreds of historic sites, national landmarks and interpretive centers, each telling Iowa’s stories from the first Native Americans through European immigrants to modern times. Glaciers once covered much of Iowa, shaping the broad flat plains of the prairie. These massive sheets of ice missed the northeast corner of the state, leaving the land along the Driftless Area Byway rugged and hilly with rock outcroppings, springs and cold water trout streams. Rivers coursed their way through the land, carving deep furrows in some places and leaving gently rolling hills in others. In western Iowa, wind has shaped fine sand into the impressive Loess Hills, a rare land form found in only one other place on earth. Iowa’s two national scenic byways and nine state byways offer unique varieties of scenic features, and more for you to see and do. View three states from atop a Mississippi River bluff, stop at a modern art museum and then tour a working farm. Explore a historic mill, visit a national aquarium, take a boat ride in a cave, purchase locally crafted pottery and wares from local artisans or trace the footsteps of Lewis and Clark. Experience the actual wagon ruts of the Mormon Trail, ride your bike 13 stories high, canoe a water trail, star gaze under Iowa’s darkest sky, and marvel at mounds built by prehistoric cultures. Agriculture wraps Iowa’s byways with an abundance of farmland vistas and fills Iowa lands with ever-changing crops and activities for you to “harvest.” You’ll see croplands on the vast flat plains and farmsteads sprinkled across rolling hills reminiscent of a Grant Wood painting. Along the way, you might wander in a corn maze, rest at a bed and breakfast, study farming in museums, discover the Iowa barn quilt collection or visit a working Amish farm. When you are ready to step outside your vehicle, you’ll find much more to do and see. Prairie, forests, rivers and public lands are abundant along Iowa’s byways; providing opportunities for you to stop and play in the outdoors with hiking, biking, kayaking and trout fishing. Classic hometowns with pride for their unique lore and offerings are found all along the byways. They invite you to taste local food, enjoy their architecture, and immerse yourself in the rich history and culture that defines them. Why not plan your next journey off the beaten path? No matter how you choose to make the most of every moment, we know that time spent along Iowa’s byways is sure to grow your love for Iowa’s diverse, beautiful vistas and authentic communities. Happy driving!

Using register data to assess the impact of response enhancement methods on the risk of nonresponse bias and survey costs

The pursuit of high response rates to minimise the threat of nonresponse bias continues to dominate decisions about resource allocation in survey research. Yet a growing body of research has begun to question this practice. In this study, we use previously unavailable data from a new sampling frame based on population registers to assess the value of different methods designed to increase response rates on the European Social Survey in Switzerland. Using sampling data provides information about both respondents and nonrespondents, making it possible to examine how changes in response rates resulting from the use of different fieldwork methods relate to changes in the composition and representativeness of the responding sample. We compute an R-indicator to assess representativity with respect to the sampling register variables, and find little improvement in the sample composition as response rates increase. We then examine the impact of response rate increases on the risk of nonresponse bias based on Maximal Absolute Bias (MAB), and coefficients of variation between subgroup response rates, alongside the associated costs of different types of fieldwork effort. The results show that increases in response rate help to reduce MAB, while only small but important improvements to sample representativity are gained by varying the type of effort. These findings lend further support to research that has called into question the value of extensive investment in procedures aimed at reaching response rate targets and the need for more tailored fieldwork strategies aimed both at reducing survey costs and minimising the risk of bias.

Iowa Plan for Energy Independence, 2007

Iowa’s first annual Energy Independence Plan kicks off a new era of state leadership in energy transformation. Supported by Governor Chet Culver, Lieutenant Governor Patty Judge, and the General Assembly, the Office of Energy Independence was established in 2007 to coordinate state activities for energy independence. The commitment of the state to lead by example creates opportunities for state government to move boldly to achieve its goals, track its progress, measure the results, and report the findings. In moving to energy independence, the active engagement of every Iowan will be sought as the state works in partnership with others in achieving the goals. While leading ongoing efforts within the state, Iowa can also show the nation how to effectively address the critical, complex challenges of shifting to a secure energy future of affordable energy, cost-effective efficiency, reliance on sustainable energy, and enhanced natural resources and environment. In accordance with House File 918, “the plan shall provide cost effective options and strategies for reducing the state’s consumption of energy, dependence on foreign sources of energy, use of fossil fuels, and greenhouse gas emissions. The options and strategies developed in the plan shall provide for achieving energy independence from foreign sources of energy by the year 2025.” Energy independence is a term which means different things to different people. We use the term to mean that we are charting our own course in the emerging energy economy. Iowa can chart its own course by taking advantage of its resources: a well-educated population and an abundance of natural resources, including rich soil, abundant surface and underground water, and consistent wind patterns. Charting our own course also includes further developing our in-state industry, capturing renewable energy, and working toward improved energy efficiency. Charting our own course will allow Iowa to manage its economic destiny while protecting our environment, while creating new, “green collar” industries in every corner of Iowa. Today Iowa is in a remarkable position to capitalize on the current situation globally and at home. Energy drives the economy and has impacts on the environment, undeniable links that are integral for energy security and independence. With the resources available within the state, the combination of significant global changes in energy and research leading to new technologies that continue to drive down the costs of sustainable energy, Iowa can take bold strides toward the goal of energy independence by 2025. The Office of Energy Independence, with able assistance from hundreds of individuals, organizations, agencies, and advisors, presents its plan for Iowa’s Energy Independence.

Multiple Kernel Learning of Environmental Data. Case study: Analysis and Mapping of Wind Fields

The paper presents the Multiple Kernel Learning (MKL) approach as a modelling and data exploratory tool and applies it to the problem of wind speed mapping. Support Vector Regression (SVR) is used to predict spatial variations of the mean wind speed from terrain features (slopes, terrain curvature, directional derivatives) generated at different spatial scales. Multiple Kernel Learning is applied to learn kernels for individual features and thematic feature subsets, both in the context of feature selection and optimal parameters determination. An empirical study on real-life data confirms the usefulness of MKL as a tool that enhances the interpretability of data-driven models.

Farm Families Alive and Well, January 2014, Vol. 20, no. 1

News from Iowa’s Center for Agricultural Safety and Health (I-CASH)

Farm Families Alive and Well, March 2007, Vol. 13, no. 2

News from Iowa’s Center for Agricultural Safety and Health (I-CASH)

Farm Families Alive and Well, Vol. 9, issue 2, 2003

News from Iowa’s Center for Agricultural Safety and Health (I-CASH)

Farm Families Alive and Well, Vol. 13, issue 1, December 2006

News from Iowa’s Center for Agricultural Safety and Health (I-CASH)

Farm Families Alive and Well, December 2007, Vol. 14, no. 1

News from Iowa’s Center for Agricultural Safety and Health (I-CASH)