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Full-Text Articles in Social and Behavioral Sciences
Restricted Random Labeling: Testing For Between-Group Interaction After Controlling For Joint Population And Within-Group Spatial Structure, Barry J. Kronenfeld, Timothy F. Leslie
Restricted Random Labeling: Testing For Between-Group Interaction After Controlling For Joint Population And Within-Group Spatial Structure, Barry J. Kronenfeld, Timothy F. Leslie
Faculty Research and Creative Activity
Statistical measures of spatial interaction between multiple types of entities are commonly assessed against a null model of either toroidal shift (TS), which controls for spatial structure of individual subpopulations, or random labeling (RL), which controls for spatial structure of the joint population. Neither null model controls for both types of spatial structure simultaneously, although this may sometimes be desirable when more than two subpopulations are present. To address this, we propose a flexible framework for specifying null models that we refer to as restricted random labeling (rRL). Under rRL, a specified subset of individuals is restricted and other individuals …
Having It Both Ways?: Land Use Change In A U.S. Midwestern Agricultural Ecoregion, Roger Auch, Chris Laingen
Having It Both Ways?: Land Use Change In A U.S. Midwestern Agricultural Ecoregion, Roger Auch, Chris Laingen
Faculty Research and Creative Activity
Urbanization has been directly linked to decreases in area of agricultural lands and, as such, has been considered a threat to food security. Although the area of land used to produce food has diminished, often overlooked have been changes in agricultural output. The Eastern Corn Belt Plains (ECBP) is an important agricultural region in the U.S. Midwest. It has both gained a significant amount of urban land, primarily from the conversion of agricultural land between 1973 and 2000, and at the same time continued to produce ever-increasing quantities of agricultural products. By 2002, more corn, soybeans, and hogs were produced …
A Cautionary Tale.Pdf, Chris Laingen
A Cautionary Tale.Pdf, Chris Laingen
Faculty Research and Creative Activity
Remotely sensed imagery has been used for decades to quantify the area, rates, and types of land use and land cover change (LULCC) from local to global scales. Common platforms used to capture data include satellite- and aerial-based sensors and cameras. Inseparable from those data are errors—misclassified pixels in sensor-based data or incorrect observations in aerial photographs—created by spectral confusion on the part of the sensor or by misclassifying the raw data during interpretation. Such errors, if not sufficiently explained or taken into consideration when reporting LULCC results, could lead to dubious conclusions. For this article, four commonly used and …
A Spatio-Temporal Analysis Of Sorghum In The United States, Chris Laingen
A Spatio-Temporal Analysis Of Sorghum In The United States, Chris Laingen
Faculty Research and Creative Activity
Sorghum is a type of grain, forage, and sugar crop that has been grown in warm, arid climates around the world for 10,000 years. It is a drought-tolerant crop, and is among the most efficient crops in the conversion of solar energy and use of water. In the United States, South America, and Australia, sorghum grain is used primarily for livestock feed and ethanol production and is becoming popular in the human food sector because of its use in gluten-free food products. The U.S. sorghum belt stretches from South Dakota to southern Texas. From the mid-1950s to the mid-1980s, sorghum …
Does The Geographic Information Systems Benefit The Insurance Industry?, Andrew R. Brachear
Does The Geographic Information Systems Benefit The Insurance Industry?, Andrew R. Brachear
Masters Theses
This research is intended to determine if the insurance companies are benefiting from Geographic Information System technology in the insurance industry. This is based on the consumers' point of view through the use of research, survey results, and technology at the insurance company's disposal. Today, this technology is used in many different areas including renewable energy, delivery business, and city planning. Insurance companies use this technology in order to determine safe driving habits. Some examples include Progressive's Snapshot and State Farm's In-Drive. These devices are used to collect data on response time, speed, and breaking. This is a possible concern …