Mark Finkbeiner - Academia.edu (original) (raw)

Papers by Mark Finkbeiner

Description ArcGIS Diagrammer is a productivity tool for GIS professionals to create, edit or ana... more Description ArcGIS Diagrammer is a productivity tool for GIS professionals to create, edit or analyze geodatabase schema. Schema is presented as editable graphics in an environment familiar to users of Microsoft Visual Studio. Essentially ArcGIS Diagrammer is a visual editor for ESRI's xml workspace documents that can be created in ArcMap or ArcCatalog. Tutorials After installing ArcGIS Diagrammer it is strongly recommended that you view the following tutorials. Create schema report Reorder Fields Add Subtype Create Many to One Relationship Create Data Report This video steps through a simple workflow of exporting a design from ArcCatalog, editing it in ArcGIS Diagrammer and finally importing the design into a new geodatabase. How to Install Download the contribution, unzip and double click on the msi file. Follow wizard.

Photogrammetric Engineering and Remote Sensing, Jun 1, 2011

National Oceanic and Atmospheric Administration's (NOAA) Coastal Services Center. Many individual... more National Oceanic and Atmospheric Administration's (NOAA) Coastal Services Center. Many individuals at the federal, state, and local level have contributed to this document. In particular the authors would like to acknowledge Dr. Randolph Ferguson and Lisa Wood at the NOAA Center for Coastal Fisheries and Habitat Research in Beaufort, North Carolina, for their efforts in developing the original NOAA Coastal Change Analysis Program: Guidance for Regional Implementation document and for their continuing support of benthic mapping. Frank Sargent of the Florida Fish and Wildlife Commission, Florida Marine Research Institute and Charles Costello of the Massachusetts Department of Environmental Protection have been consistent supporters of NOAA's benthic mapping efforts at the Coastal Services Center. Their long-term perspective and pragmatic approach to coastal environmental issues have benefited this document significantly. Dr. Robert Virnstein and Becky Robbins of the St. Johns River and South Florida Water Management Districts respectively have been instrumental in helping shape these methods through collaborative project work. The authors also would like to acknowledge the staff of the NOAA Coastal Services Center, in particular Dr. Dorsey Worthy and Steve Raber for their leadership and for making this document possible.

... L. Dorsey Worthy, Ph.D National Ocean Service, NOAA National Coastal Services Center 2234 Sou... more ... L. Dorsey Worthy, Ph.D National Ocean Service, NOAA National Coastal Services Center 2234 South Hobson Avenue Charleston, SC 29405 ... algae decay they cause breathing problems and an odor nuisance that impacts the tourist industry in the adjacent barrier beach towns. ...

1.1 Project Objectives The U.S. Geological Survey (USGS), National Oceanographic and Atmospheric ... more 1.1 Project Objectives The U.S. Geological Survey (USGS), National Oceanographic and Atmospheric Administration (NOAA), Deltares, and University of Hawaii (UH) conducted a study to provide basic understanding and specific information on the impact of climate change and sea-level rise on Roi-Namur Island on Kwajalein Atoll in the Republic of the Marshall Islands, which is part of the Ronald Reagan Ballistic Missile Test Site. The primary goal of this joint investigation was to determine the influence of climate change and sea-level rise on wave-driven flooding and the resulting impacts to infrastructure and freshwater resources on atoll islands. 1.2 Technical Approach This investigation focused on Roi-Namur Island, which is on the northernmost tip of Kwajalein Atoll in the Republic of the Marshall Islands. Physics-based numerical oceanographic and hydrogeologic models were used to forecast how future sea-level rise and climate change will affect wave-driven flooding of the island and evaluate its resulting impacts to infrastructure and freshwater resources. In order to make accurate projections, such modeling requires physical process formulation and field-data collection for validation and calibration. First, the morphology

Estuarine, Coastal and Shelf Science, 2008

The scale of landscape pattern formation of an ecological community may provide clues as to the p... more The scale of landscape pattern formation of an ecological community may provide clues as to the processes influencing its spatial and temporal dynamics. We conducted an examination of the spatial organization of an annual seagrass (Halophila decipiens) in an open ocean setting at two spatial scales and growing seasons to identify the relative influence of external (hurricanes) versus internal (clonal growth) factors. Visual surveys of seagrass cover were conducted over 2 years within three replicate 1 km 2 study areas each separated by w25 km in an inshoreeoffshore transect along the southwest coast of Florida at depths between w10 and 30 m. A towed video sled allowed observations of seagrass cover of 1 m 2 areas approximately every 6 m over thousands of meters of evenly spaced transects within the study areas (coarse scale). The towed video revealed that 17.5% of the seafloor was disturbed irrespective of location or sample time. Randomly selected 10 Â 10 m quadrats within the larger, 1 km 2 study areas were completely surveyed for seagrass cover by divers at 0.625 m 2 resolution (fine scale). The coarse-scale observations were tested using both conventional geostatistics and an application of a time-series technique (Runs test) for scale of seagrass cover contiguity. Fine-scale observations were examined using conventional geostatistics and a least squares approach (cumulative logistic). The coarse-scale observations revealed little scale dependency and indicated that the structure was organized at spatial extents finer than our sample spacing; the cumulative logistic technique revealed potential fine-scale patterns not otherwise discerned. In contrast, surveys of the 10 Â 10 m quadrats detected strong scale dependency with multiple small gaps, indicating scale-dependent patterns arising from processes operating at extents generally <14 m. Between June and October 1999, a Category I hurricane passed over the study area, rearranging large areas of sand that uncovered some rocky hard bottom areas, while covering others; by the next growing season the newly covered areas were vegetated with Halophila decipiens that likely arose from transported seeds. Spatial analysis revealed that the storm led to a shift to greater frequency of H. decipiens, but lower density coverage. Seagrass density remained substantially depressed in all areas a full year following the storm. The short life history of H. decipiens and the apparent existence of a moveable seed bank means that spatial organization of this community is dictated first by large-scale dispersal of plant propagules (hundreds of meters) and then within a growing season, by clonal organization of the seagrass operating over very small distances (m). The two techniques (semivariance and Runs test) led to similar conclusions regarding the organizational scales of seagrass landscape pattern. As with terrestrial examples, this study demonstrates the importance of selecting the appropriate scale for detection of landscape pattern and processes influencing population ecology of a seagrass ecosystem.

Global Seagrass Research Methods, 2001

This chapter describes techniques for the mapping of intertidal and subtidal seagrass meadows at ... more This chapter describes techniques for the mapping of intertidal and subtidal seagrass meadows at different scales and accuracy. Accurate information on seagrass distribution is vital as a prerequisite for managing seagrass resources. The type of questions asked by managers determines the sampling design for the surveys of seagrass habitats. Coastal managers may require maps at large scales to help select Marine and Estuarine Protected Areas (MEPAs) or highlight vulnerable areas to an oil spill.. Alternatively, they may require maps at finer scales to assist in coastal development decisions, such as where to put marinas, harbors, effluent outfalls, exploratory mining, and mariculture developments.. Maps at several different scales may also be required to assist in monitoring the health status of seagrass habitats. The use of the GPS has facilitated the production of precisely geo-referenced images that can be incorporated into GIS database for the analysis of seagrass distribution and characteristics. The incorporation of GPS and GIS technologies has lead to the development of spatial database systems for seagrass, which can be queried, updated, manipulated, and analyzed, something previously inconceivable. The use of GIS technologies, involving the quantitative expression of spatially consistent data, provides advanced analytical capabilities, and the ability to address complex systems.

The sand shoals (modeled) polygons represent the hypothesized distribution of sand shoals of the ... more The sand shoals (modeled) polygons represent the hypothesized distribution of sand shoals of the Gulf of Mexico and US Atlantic Coast based on seafloor characteristics and distance to shoreline variables. Defined by Rutecki et al. (2014), a sand shoal is "a natural, underwater ridge, bank, or bar consisting of, or covered by, sand or other unconsolidated material, resulting in shallower water depths than surrounding areas." In the dataset, attributes characterize shoals with a classification scheme developed with a basis in the Coastal and Marine Ecological Classification Standard (CMECS).

Journal of Coastal Research

ABSTRACT Pickens, B.A.; Taylor, J.C.; Finkbeiner, M.; Hansen, D., and Turner, L., 2021. Modeling ... more ABSTRACT Pickens, B.A.; Taylor, J.C.; Finkbeiner, M.; Hansen, D., and Turner, L., 2021. Modeling sand shoals on the U.S. Atlantic shelf: Moving beyond a site-by-site approach. Journal of Coastal Research, 37(2), 227–237. Coconut Creek (Florida), ISSN 0749-0208. The demand for offshore marine sands has escalated worldwide as sediments are needed for increasingly frequent beach renourishment and barrier island restoration. Sand shoals are often used as a source for dredging material because of the high volume of sand per unit area. Yet, investigations of shoals are typically conducted on a site-by-site basis, and a broader understanding of shoal availability is needed for strategic decision-making, including the mitigation of ocean use conflicts. Here, the primary objective was to model shoal distribution across the U.S. Atlantic shelf, including the Gulf of Mexico. Publicly available bathymetry data were obtained at a relatively coarse 90-m resolution. Variables of depth, standard deviation of depth, slope, bathymetric position index, and distance to shoreline were used as predictors to identify shoals. Unsupervised classifications of the seafloor were conducted to distinguish shoals and swales. Classification accuracy was assessed with validation databases of identified sand resources and named shoals compared to random locations; a visual assessment was also conducted. Shoals were further characterized by their origin. The classifications showed shoals and swales differed from the seafloor. Shoals were more shallow, had higher slope, a higher standard deviation of depth, were closer to the shoreline, and had a more positive bathymetric position index. Shoals were classified on 4.7% of the U.S. Atlantic shelf, and validation showed a percent agreement of 65–93%. Classified shoals visually coincided with the shape and extent of known sand resources. Shoals were characterized as cape-associated, bedform, isolated shelf, or uncharacterized. For the continental shelf, multivariate predictors represented the heterogeneous sloping substrates and the flat, high relief crests of sand shoals. The ability to classify shoals with 90-m resolution bathymetry data in the U.S. Atlantic reveals the methodology may be applicable to identify sand shoals elsewhere in the world with currently available data.

Ocean Solutions, Earth Solutions, 2016

This publication does not constitute an endorsement of any commercial product or intend to be an ... more This publication does not constitute an endorsement of any commercial product or intend to be an opinion beyond scientific or other results obtained by the National Oceanic and Atmospheric Administration (NOAA). No reference shall be made to NOAA, or this publication furnished by NOAA, to any advertising or sales promotion which would indicate or imply that NOAA recommends or endorses any proprietary product mentioned herein, or which has as its purpose an interest to cause the advertised product to be used or purchased because of this publication.

ABSTRACT Recent federal initiatives have underscored the need for a national standard that provid... more ABSTRACT Recent federal initiatives have underscored the need for a national standard that provides a consistent approach for classifying coastal and marine ecosystems. To meet this need, NOAA and its partners (NatureServe, U.S. Environmental Protection Agency and U.S. Geological Survey) have worked with individual scientists and managers from federal, state and regional agencies, academia, industry, and non-governmental organizations to develop the Coastal and Marine Ecological Classification Standard (CMECS). CMECS is being considered as a national standard by the Federal Geographic Data Committee. This papers provides an overview of the structure, development and of features CMECS and summarizes completed and active pilot projects through summer 2011, with the goal of demonstrating the proposed standard’s applicability to potential users. CMECS builds on and integrates with existing classification standards. The CMECS domain extends from the coastal tidal splash zone to the deep ocean, including all substrate and water column features of the oceans as well as the deep waters of the Great Lakes. CMECS describes the defining features of individual habitats via five components: a surface geology component, a benthic biotic component, a sub-benthic component, a geoform component, and a water column component. A comprehensive set of modifiers allows inclusion of additional information on environmental, structural, physical, chemical and biotic features. Components can be used and mapped independently or combined as needed for specific applications. CMECS is technology- and scale-neutral. Users choose the operational scale and level of detail suited for their purposes. CMECS is intended as a dynamic content standard, allowing refinements with improvements in technology and information. CMECS pilots have been carried out in a variety of geographies, have used several technologies and have targeted both fish management and research issues. Information to be presented on each study includes a methods overview, a brief description of the study purpose and technology used, an overview of project outputs, and how issues identified during the pilot were used to improve the standard.

Photogrammetric Engineering & Remote Sensing, 2011

Estuarine, Coastal and Shelf Science, 2008

Recent federal initiatives have underscored the need for a national standard that provides a cons... more Recent federal initiatives have underscored the need for a national standard that provides a consistent approach for classifying coastal and marine ecosystems. To meet this need, NOAA and its partners (NatureServe, U.S. Environmental Protection Agency and U.S. Geological Survey) have worked with individual scientists and managers from federal, state and regional agencies, academia, industry, and non-governmental organizations to develop the Coastal and Marine Ecological Classification Standard (CMECS). CMECS is being considered as a national standard by the Federal Geographic Data Committee. This papers provides an overview of the structure, development and of features CMECS and summarizes completed and active pilot projects through summer 2011, with the goal of demonstrating the proposed standard’s applicability to potential users. CMECS builds on and integrates with existing classification standards. The CMECS domain extends from the coastal tidal splash zone to the deep ocean, in...

Ocean Solutions, Earth Solutions, 2015

OCEANS 2000 MTS/ …, 2000

Photogrammetric Engineering and Remote Sensing, Jun 1, 2011

Estuarine, Coastal and Shelf Science, 2008

Global Seagrass Research Methods, 2001

Journal of Coastal Research

Ocean Solutions, Earth Solutions, 2016

Photogrammetric Engineering & Remote Sensing, 2011

Estuarine, Coastal and Shelf Science, 2008

Ocean Solutions, Earth Solutions, 2015

OCEANS 2000 MTS/ …, 2000