Regional differences regarding land tenancy in rural Rwanda, with special reference to sharecropping in a coffee production area

This paper examines land tenancy systems and tenant contracts in Rwanda, with respect to socioeconomic contexts. Our research in southern and eastern Rwanda produced data suggesting that land borrowing with fixed rents has been generally practiced, and that rent levels have been low in comparison to expected revenues from field production. In the western areas of coffee production, however, the practice of sharecropping has recently appeared. This system is advantageous to landowners, as they are able to acquire half of the harvests; in addition, the fixed rent levels in this region are much higher than those of other regions. In the southern and eastern regions, because land borrowing with fixed rents has been the only tenancy pattern and rent levels have remained low, the economic situation should be interpreted in the context of a continuing traditional Rwandan land tenure system. In contrast, in the western coffee production area, the soaring of fixed rents and the emergence of sharecropping have been brought about by high pressures for land use, which were caused not only by a population increase but also by the development of cash crop production and the existence of a labor exchange system. The increase in rent levels has therefore been offset by a corresponding increase in agricultural productivity.

Integración de la calidad del aire en la planificación física

En esta tesis se presenta una nueva aproximación para la realización de mapas de calidad del aire, con objeto de que esta variable del medio físico pueda ser tenida en cuenta en los procesos de planificación física o territorial. La calidad del aire no se considera normalmente en estos procesos debido a su composición y a la complejidad de su comportamiento, así como a la dificultad de contar con información fiable y contrastada. Además, la variabilidad espacial y temporal de las medidas de calidad del aire hace que sea difícil su consideración territorial y exige la georeferenciación de la información. Ello implica la predicción de medidas para lugares del territorio donde no existen datos. Esta tesis desarrolla un modelo geoestadístico para la predicción de valores de calidad del aire en un territorio. El modelo propuesto se basa en la interpolación de las medidas de concentración de contaminantes registradas en las estaciones de monitorización, mediante kriging ordinario, previa homogeneización de estos datos para eliminar su carácter local. Con el proceso de eliminación del carácter local, desaparecen las tendencias de las series muestrales de datos debidas a las variaciones temporales y espaciales de la calidad del aire. La transformación de los valores de calidad del aire en cantidades independientes del lugar de muestreo, se realiza a través de parámetros de uso del suelo y de otras variables características de la escala local. Como resultado, se obtienen unos datos de entrada espacialmente homogéneos, que es un requisito fundamental para la utilización de cualquier algoritmo de interpolación, en concreto, del kriging ordinario. Después de la interpolación, se aplica una retransformación de los datos para devolver el carácter local al mapa final. Para el desarrollo del modelo, se ha elegido como área de estudio la Comunidad de Madrid, por la disponibilidad de datos reales. Estos datos, valores de calidad del aire y variables territoriales, se utilizan en dos momentos. Un momento inicial, donde se optimiza la selección de los parámetros más adecuados para la eliminación del carácter local de las medidas y se desarrolla cada una de las etapas del modelo. Y un segundo momento, en el que se aplica en su totalidad el modelo desarrollado y se contrasta su eficacia predictiva. El modelo se aplica para la estimación de los valores medios y máximos de NO2 del territorio de estudio. Con la implementación del modelo propuesto se acomete la territorialización de los datos de calidad del aire con la reducción de tres factores clave para su efectiva integración en la planificación territorial o en el proceso de toma de decisiones asociado: incertidumbre, tiempo empleado para generar la predicción y recursos (datos y costes) asociados. El modelo permite obtener una predicción de valores del contaminante objeto de análisis en unas horas, frente a los periodos de modelización o análisis requeridos por otras metodologías. Los recursos necesarios son mínimos, únicamente contar con los datos de las estaciones de monitorización del territorio que, normalmente, están disponibles en las páginas web viii institucionales de los organismos gestores de las redes de medida de la calidad del aire. Por lo que respecta a las incertidumbres de la predicción, puede decirse que los resultados del modelo propuesto en esta tesis son estadísticamente muy correctos y que los errores medios son, en general, similares o menores que los encontrados con la aplicación de las metodologías existentes. ABSTRACT This thesis presents a new approach for mapping air quality, so that this variable of physical environment can be taken into account in physical or territorial planning. Ambient air quality is not normally considered in territorial planning mainly due to the complexity of its composition and behavior and the difficulty of counting with reliable and contrasted information. In addition, the wide spatial and temporal variability of the measurements of air quality makes his territorial consideration difficult and requires georeferenced information. This involves predicting measurements in the places of the territory where there are no data. This thesis develops a geostatistical model for predicting air quality values in a territory. The proposed model is based on the interpolation of measurements of pollutants from the monitoring stations, using ordinary kriging, after a detrending or removal of the local character of sampling values process. With the detrending process, the local character of the time series of sampling data, due to temporal and spatial variations of air quality, is removed. The transformation of the air quality values into site-independent quantities is performed using land use parameters and other characteristic parameters of local scale. This detrending of the monitoring data process results in a spatial homogeneous input set which is a prerequisite for a correct use of any interpolation algorithm, particularly, ordinary kriging. After the interpolation step, a retrending or retransformation is applied in order to incorporate the local character in the final map at places where no monitoring data is available. For the development of this model, the Community of Madrid is chosen as study area, because of the availability of actual data. These data, air quality values and local parameters, are used in two moments. A starting point, to optimize the selection of the most suitable indicators for the detrending process and to develop each one of the model stages. And a second moment, to fully implement the developed model and to evaluate its predictive power. The model is applied to estimate the average and maximum values of NO2 in the study territory. With the implementation of the proposed model, the territorialization of air quality data is undertaken with the reduction in three key factors for the effective integration of this parameter in territorial planning or in the associated decision making process: uncertainty, time taken to generate the prediction and associated resources (data and costs). This model allows the prediction of pollutant values in hours, compared to the implementation time periods required for other modeling or analysis methodologies. The required resources are also minimal, only having data from monitoring stations in the territory, that are normally available on institutional websites of the authorities responsible for air quality networks control and management. With regard to the prediction uncertainties, it can be concluded that the results of the proposed model are statistically very accurate and the mean errors are generally similar to or lower than those found with the application of existing methodologies.

Climate Change and Restoration of Degraded Land

The United Nations Climate Change Conference, Durban 2011, delivered a breakthrough on the international community's response to climate change. In the second largest meeting of its kind, the negotiations advanced, in a balanced fashion, the implementation of the Convention and the Kyoto Protocol, the Bali Action Plan, and the Cancun Agreements. The outcomes included a decision by Parties to adopt a universal legal agreement on climate change as soon as possible, and no later than 2015. One of the decisions adopted by COP 17 and CMP 7 regard to the land use, land-use change and forestry, and invites the Intergovernmental Panel on Climate Change to review and, if necessary, update supplementary methodologies for estimating anthropogenic greenhouse gas emissions by sources and removals by sinks resulting from land use, land-use change and forestry activities under Article 3, paragraphs 3 and 4, of the Kyoto Protocol. Land degradation is a human-induced or natural process which negatively affects the productivity of land within an ecosystem. The direct causes of land degradation are geographically specific. Climate change, including changes in short-term variation, as well as long-term gradual changes in temperature and precipitation, is expected to be an additional stress on rates of land degradation. Book Topics: • Introduction to Climate Change and Land Degradation • Change Mitigation • Climate Change and Waste Land Restoration • Water Management and Planning • Erosion and Hydrological Restoration • Forest Fire Land Restoration • Polluted Soils Restoration • Combating Climate Change by Restoration of Degraded Land • Research Matters – Climate Change Governance • Advanced Statistics Climate Change and Restoration of Degraded Land is of interests to academics, engineers, consultans, designers and professionals involved in restoration of degraded lands projects.

Land cover dynamics and climate change implications on water resources in South Pacific Costa Rica

Water is fundamental to human life and the availability of freshwater is often a constraint on human welfare and economic development. Consequently, the potential effects of global changes on hydrology and water resources are considered among the most severe and vital ones. Water scarcity is one of the main problems in the rural communities of Central America, as a result of an important degradation of catchment areas and the over-exploitation of aquifers. The present Thesis is focused on two critical aspects of global changes over water resources: (1) the potential effects of climate change on water quantity and (2) the impacts of land cover and land use changes on the hydrological processes and water cycle. Costa Rica is among the few developing countries that have recently achieved a land use transition with a net increase in forest cover. Osa Region in South Pacific Costa Rica is an appealing study site to assess water supply management plans and to measure the effects of deforestation, forest transitions and climate change projections reported in the region. Rural Community Water Supply systems (ASADAS) in Osa are dealing with an increasing demand of freshwater due to the growing population and the change in the way of life in the rural livelihoods. Land cover mosaics which have resulted from the above mentioned processes are characterized by the abandonment of marginal farmland with the spread over these former grasslands of high return crops and the expansion of secondary forests due to reforestation initiatives. These land use changes have a significant impact on runoff generation in priority water-supply catchments in the humid tropics, as evidenced by the analysis of the Tinoco Experimental Catchment in the Southern Pacific area of Costa Rica. The monitoring system assesses the effects of the different land uses on the runoff responses and on the general water cycle of the basin. Runoff responses at plot scale are analyzed for secondary forests, oil palm plantations, forest plantations and grasslands. The Oil palm plantation plot presented the highest runoff coefficient (mean RC=32.6%), twice that measured under grasslands (mean RC=15.3%) and 20-fold greater than in secondary forest (mean RC=1.7%). A Thornthwaite-type water balance is proposed to assess the impact of land cover and climate change scenarios over water availability for rural communities in Osa Region. Climate change projections were obtained by the downscaling of BCM2, CNCM3 and ECHAM5 models. Precipitation and temperature were averaged and conveyed by the A1B, A2 and B1 IPCC climate scenario for 2030, 2060 and 2080. Precipitation simulations exhibit a positive increase during the dry season for the three scenarios and a decrease during the rainy season, with the highest magnitude (up to 25%) by the end of the 21st century under scenario B1. Monthly mean temperature simulations increase for the three scenarios throughout the year with a maximum increase during the dry season of 5% under A1B and A2 scenarios and 4% under B1 scenario. The Thornthwaite-type Water Balance model indicates important decreases of water surplus for the three climate scenarios during the rainy season, with a maximum decrease on May, which under A1B scenario drop up to 20%, under A2 up to 40% and under B1 scenario drop up to almost 60%. Land cover scenarios were created taking into account current land cover dynamics of the region. Land cover scenario 1 projects a deforestation situation, with forests decreasing up to 15% due to urbanization of the upper catchment areas; land cover scenario 2 projects a forest recovery situation where forested areas increase due to grassland abandonment on areas with more than 30% of slope. Deforestation scenario projects an annual water surplus decrease of 15% while the reforestation scenario projects a water surplus increase of almost 25%. This water balance analysis indicates that climate scenarios are equal contributors as land cover scenarios to future water resource estimations.

Linking land cover changes in the subalpine and montane belts to changes in a torrential river.

Channel cbanges are the consequence of cbanges in sediment yield from the slopes and in the connectivity between slopes and channels bccause of distinct land use and climate inJpacts. In Ibis study, we investigated the characteristics and evolution of a short reach in the headwater of the !juez River, central-soutbem Pyrenees. Assessment of a series of sedimentar)' and geomorphic structures confirtned major cbanges to the valley boUom, mainly related to changes in the intensity of human activity. 'The oldest sedimentar)' structure is a terrace leve! located 3 10 4 m above the current alluvial plain. General deforestation, overgrazing and recwring tires in the montane belt ( 1100-1600 m a.sJ.) have led 10 increased soil erosioo and connectivity, and to tbe triggering of debris llows thal have been deposited on the fluvial tmace. Woody fragments from within the debris llows were dated using acceleraror mass spectrOmetry '"e radiocaroon tcchniques (AMS), yielding ages between 1 00 and 115 cal years BP, whicb coincides with tbe period of maximum deforestalion and human density in the Pyrenees. Depopulation and fannland abaodonment since tbe beginning of tbe 2001 oenrury has resulled in generalliJcod natural and artificial reforestation, a shrinkage of the eroded arcas aod a decline in connectivi¡y bdween slopes and the channel. 1be rnost impor1an1 consequence has been cbannel incision and oarrowing, and the development of a sedimed annour !ayer. Active sedimenl b8llSpOI1 is continui.Qg, although there has been a decrease in sed.iment yield from the slopes. Copyright O 2014 John Wiley & Soos, Ltd.

Efetividade das áreas protegidas para a conservação da natureza sob a abordagem dos serviços ecossistêmicos na bacia do rio Corumbataí

A sustentabilidade da paisagem trata-se de um tema central no que se refere às questões de conservação e desenvolvimento de paisagens altamente antropizadas. Está embasada nos conceitos tradicionais de desenvolvimento sustentável, que visam balancear o desenvolvimento humano com a proteção ambiental, pautada na equidade intra e extra-geração. Considera, ainda, os conceitos de bem-estar humano nesta esfera. Paralelamente, os conceitos de serviços ecossistêmicos reconhecem a dependência das atividades antrópicas e seu bem-estar à qualidade dos ecossistemas, reacendendo os debates sobre capital natural e desenvolvimento sustentável. Neste contexto, este trabalho aborda a sustentabilidade da paisagem questionando a potencialidade dos remanescentes florestais em fornecer, de maneira equilibrada, diferentes serviços ecossistêmicos na bacia do rio Corumbataí. Para isso, o trabalho foi dividido em duas etapas. A primeira buscou analisar questões de demanda e oferta por múltiplos serviços ecossistêmicos (controle de erosão, regulação hídrica, regulação microclimática, informação estética e qualidade de habitat). Isso baseado em indicadores da paisagem, como a dinâmica do uso do solo e padrões do meio físico e antrópico. A segunda investigou a viabilidade de integrar o sinergismo entre os serviços de controle de erosão e qualidade de habitat às prioridades de conservação e restauração florestal. Isso baseado no cenário atual da paisagem e por meio de diferentes simulações de incremento em 10% da cobertura florestal na paisagem, inserindo florestas nos locais de alta erodibilidade (situação criteriosa) ou de forma randômica. Os resultados demonstraram que, apesar do aumento de 60% na cobertura florestal durante os últimos 30 anos, apenas 37% das florestas possuem alto potencial para ofertar serviços ecossistêmicos e que, quando ponderadas perante as demandas da paisagem, apenas 20% das florestas encontram-se em equilíbrio. Além disso, foi verificado sinergismo entre os serviços de controle de erosão e qualidade de habitat em aproximadamente 80% da cobertura florestal. No entanto, nos cenários de restauração florestal, o sinergismo foi alcançado em todas as situações, sejam elas criteriosas ou randômicas. Deste modo, ficou evidente o limite das florestas e áreas protegidas como potenciais prestadoras de serviços ecossistêmicos na paisagem. Também ficou evidente que, em paisagens com alto grau de fragmentação e baixa proporção florestal, os processos de restauração não necessariamente devem almejar o sinergismo entre serviços ecossistêmicos. Por fim, atribui-se grande importância ao papel das áreas agrícolas e pastagens para compensar demandas, restaurar serviços ecossistêmicos, almejando, portanto, a sustentabilidade da paisagem.

Inventario y descripción de los hornos de cal en el agrosistema tradicional de la Finca Buixcarró (P.N. Sierra de Mariola)

Se ha realizado un inventario de los hornos de cal en la Finca Buixcarró, término municipal de Bocairente (Valencia), situada en el Parque Natural de la Sierra de Mariola. Para localizar los hornos, se ha contado con la colaboración del responsable técnico y también se fotointerpretarán mediante la aplicación Google Earth, con tal de encontrar los hornos. Para ello se elaborará una capa de puntos con formato *.kml, posteriormente introduciremos en al GPS, mediante el software (MapSource). Se muestreó la finca en búsqueda de hornos y se georreferenció cada uno de ellos mediante la utilización de un dispositivo GPS, generando un waypoint con su X-Y correspondiente. Una vez georreferenciados los hornos de la finca con formato *.gpx, se elaboró la cartografía correspondiente. Se utilizará GPSBabel y QuantumGis para elaborar la cartografía de los hornos de cal. Se han registrado un total de 24 hornos de cal, de los cuales el 60% presentan un estado de degradación bastante elevado. Se han identificado 20 categorías de usos del suelo, siendo el bosque mixto (Pinus halepensis – Quercus ilex) y el pinar carrasco (Pinus halepensis) las coberturas que mayor superficie ocupan. El inventariado de estas infraestructuras contribuye a la conservación del patrimonio material y cultural de este espacio natural protegido.

A GIS-based methodology to quantitatively define an Adjacent Protected Area in a shallow karst cavity: The case of Altamira cave

Different types of land use are usually present in the areas adjacent to many shallow karst cavities. Over time, the increasing amount of potentially harmful matter and energy, of mainly anthropic origin or influence, that reaches the interior of a shallow karst cavity can modify the hypogeal ecosystem and increase the risk of damage to the Palaeolithic rock art often preserved within the cavity. This study proposes a new Protected Area status based on the geological processes that control these matter and energy fluxes into the Altamira cave karst system. Analysis of the geological characteristics of the shallow karst system shows that direct and lateral infiltration, internal water circulation, ventilation, gas exchange and transmission of vibrations are the processes that control these matter and energy fluxes into the cave. This study applies a comprehensive methodological approach based on Geographic Information Systems (GIS) to establish the area of influence of each transfer process. The stratigraphic and structural characteristics of the interior of the cave were determined using 3D Laser Scanning topography combined with classical field work, data gathering, cartography and a porosity–permeability analysis of host rock samples. As a result, it was possible to determine the hydrogeological behavior of the cave. In addition, by mapping and modeling the surface parameters it was possible to identify the main features restricting hydrological behavior and hence direct and lateral infiltration into the cave. These surface parameters included the shape of the drainage network and a geomorphological and structural characterization via digital terrain models. Geological and geomorphological maps and models integrated into the GIS environment defined the areas involved in gas exchange and ventilation processes. Likewise, areas that could potentially transmit vibrations directly into the cave were identified. This study shows that it is possible to define a Protected Area by quantifying the area of influence related to each transfer process. The combined maximum area of influence of all the processes will result in the new Protected Area. This area will thus encompass all the processes that account for most of the matter and energy carried into the cave and will fulfill the criteria used to define the Protected Area. This methodology is based on the spatial quantification of processes and entities of geological origin and can therefore be applied to any shallow karst system that requires protection.

Uso do zoneamento ambiental do Médio Rio Grande na sub-bacia hidrográfica do Ribeirão Bocaina - Passos/MG

Este trabalho é parte integrante do Projeto Grande Minas - União pelas Águas, que realizou o Zoneamento Ambiental das Sub-bacias Hidrográficas dos Afluentes Mineiros do Médio Rio Grande. Após a obtenção dos produtos finais do zoneamento, entra-se agora, na fase de “Implementação”, ou seja, de sua aplicação direta para contribuir no processo de gestão dos recursos hídricos das sub-bacias hidrográficas da área de estudo. Neste trabalho estuda-se, especificamente, a sub-bacia hidrográfica do Ribeirão Bocaina, considerada uma das 34 sub-bacias que envolvem a Bacia Hidrográfica dos Afluentes Mineiros do Médio Rio Grande e situa-se no município de Passos-MG, possuindo uma área de 457,9 km². O trabalho busca dar uma contribuição para a gestão dos recursos hídricos nesta sub-bacia, que vem sofrendo com a degradação do seu recurso hídrico. O objetivo é disponibilizar instrumentos cartográficos para subsidiar a gestão dos recursos hídricos e, com isto, contribuir com a sua preservação e uso sustentável. A sistemática metodológica envolve uma análise dos aspectos legais da área de estudo; a construção de um Banco de Dados Digital georreferenciado com informações sobre os meios físico, biótico e socioeconômico da sub-bacia e a produção de uma carta derivada, de cunho interpretativo e de fácil leitura, que possa ser utilizada diretamente pelo gestor público nas tomadas de decisões. A base digital produzida conta com uma série de mapas digitais, dentre eles: mapas climáticos, de solos, declividades, geomorfológico, geológico, de sistemas aquíferos, hidrográfico, uso e ocupação do solo. Com relação à carta derivada, destaca os terrenos que apresentam maior predisposição à alterações diretas nos recursos hídricos.

Developed land, 1971

Shows forest and open space, pre-1971 development, and water in eastern Massachusetts.

Northeastern United States, 1799 : showing township grants and land purchases in New York (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Map of the middle states of North America : shewing the position of the Geneseo country comprehending the counties of Ontario & Steuben as laid off in townships of six miles squar[e] each, Maverick, sculpt. It was printed by T. & J. Swords for Charles Williamson's Description of the settlement of the Genesee country, in the state of New-York, 1799. Scale [ca. 1:2,250,000]. Partial cadastral map showing large land purchases and township grants in New York State. Covers New York, Pennsylvania, Vermont, Massachusetts, Connecticut, New Jersey, Washington, D.C. and portions of Maryland, Delaware, and West Virginia. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM) Zone 18N NAD83 projection. 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, major cities and towns, land purchases, township grants, state boundaries, and more. Includes key to "principal villages in Ontario & Steuben counties." This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

Isla de Fuerteventura, Canary Islands, Spain, 1779 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Mapa de la isla de Fuerteventura, por Don Tomás Lopez, geografo de los dominios de S. M. de las Reales academias de la historia, de San Fernando, de la de buenas letras de Sevilla y de la Sociedad Bascongada de los amigos del pais. It was published by se hallará este con todas las obras del autor en la Calle de las Carretas entrando por la Plazuela del Angel in 1779. Scale [ca. 1:280,000]. Covers Isla de Fuerteventura, Canary Islands, Spain. Map in Spanish.The image inside the map neatline is georeferenced to the surface of the earth and fit to the World Mercator projected 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, villages and other human settlements, roads, shoreline features, ports and anchorage points, and more. Relief shown by hachures. Includes note on the mapping of Fuerteventura.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.

Isla de Gran Canaria, Canary Islands, Spain, 1780 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Isla de la Gran Canaria, por Don Tomás Lopez, geografo de los dominios de S. M., de las Reales academias de la historia, de San Fernando, de la de buenas letras de Sevilla y de la Sociedad Bascongada de los amigos del pais. It was published by se hallará este con todas las obras del autor en la Calle de las Carretas entrando por la Plazuela del Angel in 1780. Scale [ca. 1:280,000]. Covers Isla de Gran Canaria, Canary Islands, Spain. Map in Spanish.The image inside the map neatline is georeferenced to the surface of the earth and fit to the World Mercator projected 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, land cover, cities and towns, villages and other human settlements, towers, hospitals, parishes, shoreline features, ports and anchorage points, and more. Relief shown by hachures. Includes note on the mapping of Isla de Gran Canaria.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.

Isla de Lanzarote, Canary Islands, Spain, 1779 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Mapa de la isla de Lanzarote, por Don Tomás Lopez, geografo de los dominios de S. M., de las Reales academias de la historia, de San Fernando, de la de buenas letras de Sevilla y de la Sociedad Bascongada de los amigos del pais. It was published by se hallará este con todas las obras del autor en la Calle de las Carretas entrando por la Plazuela del Angel in 1779. Scale [ca. 1:280,000]. Covers Isla de Lanzarote, Canary Islands, Spain. Map in Spanish.The image inside the map neatline is georeferenced to the surface of the earth and fit to the World Mercator projected 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, land cover, villages and other human settlements, roads, shoreline features, ports and anchorage points, and more. Relief shown by hachures. Includes note on the mapping of Lanzarote and inset map: Mapa de la isla de del Hierro.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.

Isla de Tenerife, Canary Islands, Spain, 1779 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Mapa de la isla de Tenerife, por Don Tomás Lopez, geografo de los dominios de S. M., de las Reales academias de la historia, de San Fernando, de la de buenas letras de Sevilla y de la Sociedad Bascongada de los amigos del pais. It was published by se hallará este con todas las obras del autor en la Calle de las Carretas entrando por la Plazuela del Angel in 1779. Scale [ca. 1:280,000]. Covers Isla de Tenerife, Canary Islands, Spain. Map in Spanish.The image inside the map neatline is georeferenced to the surface of the earth and fit to the World Mercator projected 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, land cover, cities and towns, villages and other human settlements, fortification and watch towers, roads, shoreline features, ports and anchorage points, and more. Relief shown by hachures. Includes note on the mapping of Tenerife.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.