Maps of surface sediment distribution in the northern Wadden Sea, North Sea

From 1978 to 1981, intensive sedimentological investigations were carried out on the Northfrisian intertidal shoals between the small island of Gröde and Nordstrand lsland as a part of an interdisciplinary research projekt. The objective of this sedimentological study was to reveal long and short term tendencies in sedimentation and erosion in the environment. The presented study mainly concentrated on surface mapping in the tidal flats which based on more than 5000 sediment samples. The relative amounts of the grain-size fractions <0.063 mm and >0.125 mm are presented on maps. Predominant sediment typs are well sorted fine sands ("Wattsand") and muddy sands ("Schlicksand"), pure muds covering only small areas. The fine-grained deposits are either found in the lee-side of an island in elongated bays having a low waterdepth during high tide near the shore or near exposed "Klei" outcrops as well as sporadically on the edge of tidal rills. Together with standardized fields observations of biological and physical properties, the maps indicate a slight erosive tendency in large sections of the investigated area.

From Lubeck to Milan

[drawn by Erwin Raisz].

Chlorophyll and true-color maps of sediments from the intertidal zones in Winyah Bay, South Carolina, USA and List, Sylt, Germany

We used hyperspectral imaging to study short-term effects of bioturbation by lugworms (Arenicola marina) on the surficial biomass of microphytobenthos (MPB) in permeable marine sediments. Within days to weeks after the addition of a lugworm to a homogenized and recomposed sediment, the average surficial MPB biomass and its spatial heterogeneity were, respectively, 150 - 250% and 280% higher than in sediments without lugworms. The surficial sediment area impacted by a single medium-sized lugworm (~4 g wet weight) over this time-scale was at least 340 cm**2. While sediment reworking was the primary cause of the increased spatial heterogeneity, experiments with lugworm-mimics together with modeling showed that bioadvective porewater transport from depth to the sediment surface, as induced by the lugworm ventilating its burrow, was the main cause of the increased surficial MPB biomass. Although direct measurements of nutrient fluxes are lacking, our present data show that enhanced advective supply of nutrients from deeper sediment layers induced by faunal ventilation is an important mechanism that fuels high primary productivity at the surface of permeable sediments even though these systems are generally characterized by low standing stocks of nutrients and organic material.

Official map publications; a historical sketch, and a bibliographical handbook of current maps and mapping services in the United States, Canada, Latin America, France, Great Britain, Germany, and certain other countries,

"Classification, cataloging, and care of maps": p. 282-295; "Tentative map classification outline by subject": p. 297-308; "Map classification outline by areas": p. 309-311.

Context-aware device self-configuration using self-organizing maps

Modern mobile computing devices are versatile, but bring the burden of constant settings adjustment according to the current conditions of the environment. While until today, this task has to be accomplished by the human user, the variety of sensors usually deployed in such a handset provides enough data for autonomous self-configuration by a learning, adaptive system. However, this data is not fully available at certain points in time, or can contain false values. Handling potentially incomplete sensor data to detect context changes without a semantic layer represents a scientific challenge which we address with our approach. A novel machine learning technique is presented - the Missing-Values-SOM - which solves this problem by predicting setting adjustments based on context information. Our method is centered around a self-organizing map, extending it to provide a means of handling missing values. We demonstrate the performance of our approach on mobile context snapshots, as well as on classical machine learning datasets.

Compositional data-driven alternatives to single geochemical component maps

Conventional practice in Regional Geochemistry includes as a final step of any geochemical campaign the generation of a series of maps, to show the spatial distribution of each of the components considered. Such maps, though necessary, do not comply with the compositional, relative nature of the data, which unfortunately make any conclusion based on them sensitive
to spurious correlation problems. This is one of the reasons why these maps are never interpreted isolated. This contribution aims at gathering a series of statistical methods to produce individual maps of multiplicative combinations of components (logcontrasts), much in the flavor of equilibrium constants, which are designed on purpose to capture certain aspects of the data.
We distinguish between supervised and unsupervised methods, where the first require an external, non-compositional variable (besides the compositional geochemical information) available in an analogous training set. This external variable can be a quantity (soil density, collocated magnetics, collocated ratio of Th/U spectral gamma counts, proportion of clay particle fraction, etc) or a category (rock type, land use type, etc). In the supervised methods, a regression-like model between the external variable and the geochemical composition is derived in the training set, and then this model is mapped on the whole region. This case is illustrated with the Tellus dataset, covering Northern Ireland at a density of 1 soil sample per 2 square km, where we map the presence of blanket peat and the underlying geology. The unsupervised methods considered include principal components and principal balances
(Pawlowsky-Glahn et al., CoDaWork2013), i.e. logcontrasts of the data that are devised to capture very large variability or else be quasi-constant. Using the Tellus dataset again, it is found that geological features are highlighted by the quasi-constant ratios Hf/Nb and their ratio against SiO2; Rb/K2O and Zr/Na2O and the balance between these two groups of two variables; the balance of Al2O3 and TiO2 vs. MgO; or the balance of Cr, Ni and Co vs. V and Fe2O3. The largest variability appears to be related to the presence/absence of peat.

Luxembourg and Portions of Belgium, Germany, and France, 1705 (Image 1 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Le Duché de Luxembourg divisé en Quartier Walon, et Allemand : dans chacun desquels sont diviséz, les Seigneuries, Prevostés et Comtés. Le Duché de Bouillon ; le Comté de Namur et le Pays entre Sambre et Meuse, Dedié au Roy par son tres-humble, tres-obeissant, tres-fidele sujet et serviteur Hubert Jaillot, Geographe du Roy. It was published by chez l'auteur, joignant les grands Augustins, aux deux Globes, avec privilége du roy in 1705. Scale [ca. 1:143,370]. Covers Luxembourg and portions of Belgium, Germany, and France. This layer is image 1 of 4 total images of the four sheet source map, representing the southeast portion of the map. Map in French.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Europe Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, roads, cities and other human settlements, fortifications, territorial and administrative boundaries, ground cover, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Luxembourg and Portions of Belgium, Germany, and France, 1705 (Image 2 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Le Duché de Luxembourg divisé en Quartier Walon, et Allemand : dans chacun desquels sont diviséz, les Seigneuries, Prevostés et Comtés. Le Duché de Bouillon ; le Comté de Namur et le Pays entre Sambre et Meuse, Dedié au Roy par son tres-humble, tres-obeissant, tres-fidele sujet et serviteur Hubert Jaillot, Geographe du Roy. It was published by chez l'auteur, joignant les grands Augustins, aux deux Globes, avec privilége du roy in 1705. Scale [ca. 1:143,370]. Covers Luxembourg and portions of Belgium, Germany, and France. This layer is image 2 of 4 total images of the four sheet source map, representing the northeast portion of the map. Map in French.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Europe Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, roads, cities and other human settlements, fortifications, territorial and administrative boundaries, ground cover, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Luxembourg and Portions of Belgium, Germany, and France, 1705 (Image 3 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Le Duché de Luxembourg divisé en Quartier Walon, et Allemand : dans chacun desquels sont diviséz, les Seigneuries, Prevostés et Comtés. Le Duché de Bouillon ; le Comté de Namur et le Pays entre Sambre et Meuse, Dedié au Roy par son tres-humble, tres-obeissant, tres-fidele sujet et serviteur Hubert Jaillot, Geographe du Roy. It was published by chez l'auteur, joignant les grands Augustins, aux deux Globes, avec privilége du roy in 1705. Scale [ca. 1:143,370]. Covers Luxembourg and portions of Belgium, Germany, and France. This layer is image 3 of 4 total images of the four sheet source map, representing the southwest portion of the map. Map in French.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Europe Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, roads, cities and other human settlements, fortifications, territorial and administrative boundaries, ground cover, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Luxembourg and Portions of Belgium, Germany, and France, 1705 (Image 4 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Le Duché de Luxembourg divisé en Quartier Walon, et Allemand : dans chacun desquels sont diviséz, les Seigneuries, Prevostés et Comtés. Le Duché de Bouillon ; le Comté de Namur et le Pays entre Sambre et Meuse, Dedié au Roy par son tres-humble, tres-obeissant, tres-fidele sujet et serviteur Hubert Jaillot, Geographe du Roy. It was published by chez l'auteur, joignant les grands Augustins, aux deux Globes, avec privilége du roy in 1705. Scale [ca. 1:143,370]. Covers Luxembourg and portions of Belgium, Germany, and France. This layer is image 4 of 4 total images of the four sheet source map, representing the northwest portion of the map. Map in French.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Europe Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, roads, cities and other human settlements, fortifications, territorial and administrative boundaries, ground cover, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Berlin, Germany, 1920 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Kiessling's grosser plan von Berlin : mit Voroten und Völlständiger Stadt - u. Ringbahn. It was published by Alexius Kiessling in 1920. Scale 1:20,000. Covers a portion of Berlin, Germany. Map in German. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Deutsches Hauptdreiecksnetz (DHDN) 3-degree Gauss-Kruger Zone 4 coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads and stations, drainage, selected buildings, parks, ground cover, city districts, and more. Relief shown by spot heights.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Göttingen, Germany, ca. 1740 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Goettinga, urbs munitissima et splendida electoratus Brunsvico-Luneburgici Academia Georgia Augusta inclyta, accurate aere repraesentata à Matth. Seuttero, Geogr. Caesar, Aug. Vind. It was published by M. Seutter, ca. 1740. Scale [ca. 1:3,500]. Covers Göttingen, Germany. Map in German and Latin.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Deutsches Hauptdreiecksnetz (DHDN) 3-degree Gauss-Kruger Zone 3 coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, built-up areas and selected buildings, fortifications, ground cover, and more. Includes indexes, illustrations, and view.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.