SOILS AND GEOMORPHIC EVIDENCE FOR A HIGH LAKE STAND IN A MICHIGAN DRUMLIN FIELD

The objectives of this study were to determine (1) if and where lithologic discontinuities are present in the late Pleistocene Northport drumlins of NW lower Michigan, and (2) the sedimentary processes responsible for the discontinuities. Determining the presence of lithologic discontinuities was achieved through field observations and laboratory analysis. Lithologic discontinuities with varying strengths of expression were found in all upland soils. Upland soils typically have a sedimentologic “cap” dominated by fine sands at the surface with dense, more gravelly till beneath. The occurrence of this cap on upland sites, as well as overlying laminated silts and clays in some inter-drumlin areas, suggests that upland soils in the Northport drumlin field formed from subaqueously reworked glacial till. To accomplish this, the Northport drumlin field must have been inundated by a previously unidentified proglacial lake, after recession of the ice margin during the terminal Pleistocene. The lake may have formed as ice blocks lay in the deep basins to either side of the drumlin field and high morainic uplands spanned the southern edge of the field, which at that time would have been severely isostatically depressed. [Key words: deglaciation, proglacial lakes, paleoenvironmental reconstruction, till, soils, flooding, Great Lakes region.]     

Reconsidering the definition of a spatial data infrastructure

The great interest in spatial data infrastructures (SDIs) has led to a wealth of SDI definitions in SDI debates. The article aims to contribute to both theory-oriented and practice-oriented SDI research by providing a critical re-examination of the SDI literature. Ashby's formal theory of regulation, which sees infrastructures as regulatory devices, is used to identify the strengths and weaknesses of several SDI definitions. This exercise shows how debates of the SDI objectives and the roles of users get caught in mantraps and also opens the door for a way out of this confusion by distinguishing between functional and adoption objectives. It also highlights the emphasis on technological components in the SDI definitions, which sidestep the importance of structural and human resource components in SDI.     

Post‐orogenic thermal history and exhumation of the northern Appalachian Basin: Low‐temperature thermochronologic constraints

Apatite fission‐track (AFT) thermochronology and (U‐Th)/He (AHe) dating, combined with paleothermometers and independent geologic constraints, are used to model the thermal history of Devonian Catskill delta wedge strata. The timing and rates of cooling determines the likely post‐orogenic exhumation history of the northern Appalachian Foreland Basin (NAB) in New York and Pennsylvania. AFT ages generally young from west to east, decreasing from ~185 to 120 Ma. AHe single‐grain ages range from ~188 to 116 Ma. Models show that this part of the Appalachian foreland basin experienced a non‐uniform, multi‐stage cooling history. Cooling rates vary over time, ~1–2 °C/Myr in the Early Jurassic to Early Cretaceous, ~0.15–0.25 °C/Myr from the Early Cretaceous to Late Cenozoic, and ~1–2 °C/Myr beginning in the Miocene. Our results from the Mesozoic are broadly consistent with earlier studies, but with the integration of multiple thermochronometers and multi‐kinetic annealing algorithms in newer inverse thermal modeling programs, we constrain a Late Cenozoic increase in cooling which had been previously enigmatic in eastern U.S. low‐temperature thermochronology datasets. Multi‐stage cooling and exhumation of the NAB is driven by post‐orogenic basin inversion and catchment drainage reorganization, in response to changes in base level due to rifting, plus isostatic and dynamic topographic processes modified by flexure over the long (~200 Myr) post‐orogenic period. This study compliments other regional exhumation data‐sets, while constraining the timing of post‐orogenic cooling and exhumation in the NAB and contributing important insights on the post‐orogenic development and inversion of foreland basins along passive margins.     

A cell-based algorithm for evaluating directional distances in GIS

Directional distance is commonly used in geographical information systems as a measure of openness. In previous works, the sweep line method and the interval tree method have been employed to evaluate the directional distances on vector maps. Both methods require rotating original maps and study points in every direction of interest. In this article, we propose a cell-based algorithm that pre-processes a map only once; that is, it subdivides the map into a group of uniform-sized cells and records each borderline of the map into the cells traversed by its corresponding line segment. Based on the pre-processing result, the neighbouring borderlines of a study point can be directly obtained through the neighbouring cells of the point, and the borderlines in a definite direction can be simply acquired through the cells traversed by the half line as well. As a result, the processing step does not need to enumerate all the borderlines of the map when determining whether a point is on a borderline or finding the nearest intersection between a half line and the borderlines. Furthermore, we implement the algorithm for determining fetch length in coastal environment. Once the pre-processing is done, the algorithm can work in a complex archipelago environment such as to calculate the fetch lengths in multiple directions, to determine the inclusion property of a point, and to deal with the singularity of a study point on a borderline.     

Spatial Characteristics of Regional Wildfire Frequencies in Intermountain West Grass-Dominated Communities

Understanding the environmental factors that influence spatial patterns of rangeland wildfires facilitates both fire and land management decisions. I used discriminant analysis to examine ignition frequency of lightning-initiated fires in grass-dominated communities in the Intermountain West between 1980 and 1994, then mapped regional fire frequencies to illustrate spatial patterns. Two canonical discriminant functions effectively separate groups of high, medium, and low ignition frequencies, based on climate conditions and fuel characteristics. Regions of highest frequency tend to have large elevational differences, more mesic climates, and less annual grass cover. Spatial patterns of ignition frequencies tend to reflect local topography, with higher frequencies west of 119° W. Expansion of exotic annual grasses throughout the region may be reducing differences in ignition frequency between regions of highest and lowest frequency.     

Belonging in charlotte: multiscalar differences in local immigration politics and policies

In the context of Charlotte, North Carolina's, emergence as a “globalizing” pre‐emergent immigrant gateway, this paper focuses on a complex and multiscalar set of governmental policies and community‐development dynamics that are shaping localized response to Hispanic/Latino immigration. Specifically, we explore how these policies and dynamics play out spatially in the context of two Charlotte neighborhoods, both of which have similar historical roots and have become magnets for Latino settlement, yet display divergent contemporary place‐making paths. Our exploration reveals the ways in which contexts of receptivity and spaces of both exclusion and inclusion are created by the socio‐spatial components of public policy and the localized response to that policy at the intraurban level. Reinforcing the importance of space and place in the construction of receptivity contexts, the compared stories of Eastside and South Charlotte reveal that neighborhoods are never the product of one transformational force but of many—no matter how they may be perceived in the public imaginary.     

Monitoring the effects of longwall mine-induced subsidence on vineyards

This paper reports on the design and implementation of a program to monitor the surface effects of longwall mining-induced subsidence on wine grape yields within vineyards of Australia’s Hunter Valley. Implemented in 2003, this five-year project incorporated a multi-scale, multi-temporal, sliding window monitoring design synchronised with progression of longwall panels. On the vineyard-block scale, individual vine panels were sampled for grape yield. On the regional scale measures of vine photosynthetically active biomass were obtained from remotely sensed, Quickbird satellite imagery. All data were analysed in conjunction with three identified subsidence “zones”: minimum subsidence associated with chain-pillars, maximum subsidence associated with the longwall, and a zone corresponding to the transition between them. Visual observations conducted throughout the campaign confirmed the occurrence of isolated localised surface cracking, particularly in areas of maximum soil tension. However, both vineyard and block-scale data indicated no obvious, systematic mining-induced viticultural effects in the study site investigated during the study period. Rather, observed trends in vine yields were better explained by vine biophysical responses to climatic factors.     

Background velocity estimation using non-linear optimization for reflection tomography and migration misfit

We show that it is possible to estimate the background velocity for prestack depth migration in 2D laterally varying media using a non-linear optimization technique called very fast simulated annealing (VFSA). We use cubic splines in the velocity model parametrization and make use of either successive pairs of shot gathers or several constant-offset sections as input data for the inversion. A Kirchhoff summation scheme based on first-arrival traveltimes is used to migrate/model the input data during the velocity analysis. We evaluate and compare two different measures of error. The first is defined in the recorded data or (x,t) domain and is based on a reflection-tomography criterion. The second is defined in the migrated data or (x,z) domain and is based on a migration-misfit criterion. Depth relaxation is used to improve the convergence and quality of the velocity analysis while simultaneously reducing the computational cost. Further, we show that by coarse sampling in the offset domain the method is still robust. Our non-linear optimization approach to migration velocity analysis is evaluated for both synthetic and real seismic data. For the velocity-analysis method based on the reflection-tomography criterion, traveltimes do not have to be picked. Similarly, the migration-misfit criterion does not require that depth images be manually compared. Interpreter intervention is required only to restrict the search space used in the velocity-analysis problem. Extension of the proposed schemes to 3D models is straightforward but practical only for the fastest available computers.