Despite of its relevance as a tool for scientific communication in Geo-sciences, maps are generally regarded as a secondary product in peer reviewed journals. This limitation may be due to format and cost limitations of printed publications. Advances in cybercartography and geoinformatics extends the online capabilities of cartography, allowing 1) fluid visualization of very high resolution maps 2) easy interaction with the underlying data 3) appropriate interaction with multimedia resources such as graphs, videos and 3Dvisualizations, and 4) remote access to geo-scientific data collections. We present here an innovative design and implementation of an interactive peer reviewed journal of maps which includes the referred capabilities.
ResumenPara enfrentar el cambio y variabilidad climáticas, las instituciones públicas necesitan el manejo de información científica sustentada en una gran cantidad de observaciones confiables, y a la vez una estrategia de comunicación para permitir la utilización de la información por sectores claves de la sociedad. Presentamos la visualización cartográfica dinámica de imágenes diarias de variables climáticas básicas (precipitación, temperatura mínima, temperatura máxima) adaptadas de los modelos numéricos "Atmosphere Ocean General Circulation Models" (AOGCM). La estructura NetCDF ("cubo de datos") permitió una alta escalabilidad en cuanto a la conformación de series temporales, su visualización y su descarga. Esta plataforma fue aceptada por el INEGI para estar incorporada en el Mapa Digital de México. AbstractIn the context of climate variability and change, public institutions need the management of scientific information supported by a large amount of reliable observations, and at the same time a communication strategy which allows the use of this information by key social sectors. We present the dynamic cartographic visualization of daily basic climatic variables (precipitation, minimum temperature, maximum temperature), adapted from the Atmosphere Ocean General Circulation Models (AOGCM). The underlying data structure is based on the NetCDF format ("data cubes") which allows a high scalability for the construction of timeseries, visualization and download. This platform was accepted by INEGI to be incorporated into the Mexican Digital Map.
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