Daniela Ballari

Universidad del Azuay (UDA) · Faculty of Science and Technology

Understanding the spatio-temporal variability of the solar resource is crucial to effectively support solar power utilization. Unfortunately, long-term and high-resolved measurements of solar irradiance are generally scarce, challenging the characterization for larger areas. In this paper, we propose a methodology to characterize the spatio-tempora...

El análisis y comprensión de la incidencia de los factores socioeconómicos, de percepción y de mesoescala urbana sobre los modos de movilidad de los niños y niñas en edad escolar es fundamental para fomentar el uso de modos más sustentables. Este estudio explora la relación entre factores socioeconómicos, de percepción y de mesoescala urbana sobre...

The precipitation phase (PP) affects the hydrologic cycle which in turn affects the climate system. A lower ratio of snow to rain due to climate change affects timing and duration of the stream flow. Thus, more knowledge about the PP occurrence and drivers is necessary and especially important in cities dependent on water coming from glaciers, such...

Monitoring of air temperature has implications in a wide range of environmental applications. Air temperature commonly measured with meteorological stations provides a high accuracy and temporal resolution for specific monitoring sites. However, in regions with highly variable topography and scare monitoring such as the case of the southern Ecuador...

Climate teleconnections show remote and large-scale relationships between distant points on Earth. Their relations to precipitation are important to monitor and anticipate the anomalies that they can produce in the local climate, such as flood and drought events impacting agriculture, health, and hydropower generation. Climate teleconnections in re...

Unraveling the relationship between humidity, wind, and rainfall is vitally important to understand the dynamics of water vapor transport. In recent years, the use of causal networks to identify causal flows has gained much ground in the field of climatology to provide new insights about physical processes and hypothesize previously unknown ones. I...

Geospatial information has transformed into a primary consumer good in our society. Worldwide, governmental organizations have contributed to this reality through Spatial Data Infrastructures (SDIs), promoting economic development, stimulating better governance, and fostering environmental sustainability. These initiatives have been settled accordi...

Droughts are one of the most spatially extensive disasters that are faced by societies. Despite the urgency to define mitigation strategies, little research has been done regarding droughts related to climate change. The challenges are due to the complexity of droughts and to future precipitation uncertainty from Global Climate Models (GCMs). It is...

Reliable precipitation predictions require an understanding of climate teleconnections over precipitation. In Ecuador, these teleconnections were studied with correlation methods, but multivariate studies with several climatic indexes simultaneously has been less study. The objective of this work is to carry out a multivariate study using Bayesian...

A pesar de que en los últimos tiempos se ha resaltado la importancia de la reproducibilidad como pilar del proceso científico, en las geo-ciencias ésta no ha sido reconocida como una preocupación inminente. Esto no es por ausencia del problema, sino por falta de evidencias que así lo demuestren. Es por ello que la comunidad científica internacional...

In the tropical Andes, the páramo ecosystem is known as water towers and the main water supplier for the cities of the Andean region. Nevertheless, considering that evapotranspiration (ET) is the major water loss and the lack of in situ evapotranspiration measurements in high altitudinal páramo ecosystems, ET dynamics on the hydrological regulation...

Rain gauge networks are crucial for enhancing the spatio‐temporal characterization of precipitation. In tropical regions, scarcity of rain gauge data, climatic variability, and variable spatial accessibility make conventional approaches to design rain gauge networks inadequate and impractical. In this study, we propose the use of conditioned Latin...

A pesar de que en los últimos tiempos se ha resaltado la importancia de la reproducibilidad como pilar del proceso científico, en las geo-ciencias ésta no ha sido reconocida como una preocupación inminente. Esto no es por ausencia del problema, sino por falta de evidencias que así lo demuestren. Es por ello que la comunidad científica internacional...

Código en R y datos para reproducir prácticas en clases de Análisis Espacial . Temario: - Mapas de referencia - Análisis vectorial - Análisis raster - Geoestadistica Básico Multivariada Librería automap - Geoestadística para precipitación - Tratamiento de series temporales de imágenes raster - Introduccion a remote sensing - Geomorfometría

Este curso surge de la necesidad de agilizar las investigaciones y optimizar los recursos computacionales para el procesamiento de algoritmos altamente demandantes y grandes volúmenes de datos. En este contexto, R ofrece herramientas de alto nivel para interactuar con la computación de alto rendimiento (HPC - High Performance Computing). El curso e...

High‐resolution images of environmental variables are highly valuable sources of information in research and environmental management. Obtaining spatially continuous information from ground observations is challenging due to the wide variety of factors that affect classical interpolation methods. While geostatistical methods have produced noteworth...

The identification of area-wise homogeneous precipitation regions helps to unveil similar precipitation patterns and amounts, where similar atmospheric processes at diverse temporal scales are likely to occur. However, although scientifically and socially relevant, the regionalization of precipitation is challenging, specially in areas of complex o...

In response to increasing pressures on water resources, watershed-services management programs are implemented throughout the tropics. These programs aim to promote land management activities that enhance the quantity and quality of water available to local communities. The success of these programs hinges on our ability to i) understand the impact...

En regiones de montaña como los Andes, la densidad de la red de pluviómetros es pobre y a menudo dispersa. Por lo tanto, es incapaz de proporcionar una adecuada estimación de la precipitación, por lo que la densificación de estas redes constituye un tema de gran relevancia para una adecuada gestión ambiental y de los recursos hídricos. El presente...

Spatial prediction of precipitation with high resolution is a challenging task in regions with strong climate variability and scarce monitoring. For this purpose, the quasi-continuous supply of information from satellite imagery is commonly used to complement in situ data. However, satellite images of precipitation are available at coarse resolutio...

Precipitation monitoring is of utmost importance for water resource management. However, in regions of complex terrain such as Ecuador, the high spatio-temporal precipitation variability and the scarcity of rain gauges, make difficult to obtain accurate estimations of precipitation. Remotely sensed estimated precipitation, such as the Multi-satelli...

Precipitation monitoring is of utmost importance for water resource management. However, in regions of complex terrain such as Ecuador, the high spatio-temporal precipitation variability and the scarcity of rain gauges, make difficult to obtain accurate estimations of precipitation. Remotely sensed estimated precipitation, such as the Multi-satelli...

In the Galapagos Islands, where 97% of the territory is protected and ecosystem dynamics are highly vulnerable, timely and accurate information is key for decision making. An appropriate monitoring system must meet two key features: on one hand, being able to capture information in a systematic and regular basis, and on the other hand, to quickly g...

Ecuador does not have a monitoring system of climatological variables that supply the current needs. Although, the Instituto Nacional de Meteorología e Hidrología (INAMHI) has a network of meteorological stations are dispersed in the territory, in some cases the stations are not operational and it is difficult to access to this data. Based on the a...

Evaluation and indicators definition is an issue in the context of Spatial Data Infras-tructures (SDI). Previous studies have evaluated first and second generations of SDI in comparison to their planned or anticipated development. This is following an ex-ante approach. However, current SDI trends requires consideration of additional elements for a...

RESUMEN El conocimiento de patrones espacio-temporales de precipitaciones y cómo se relacionan con ENSO es fundamental para predecir el impacto espacial de eventos ENSO y desarrollar sistemas de alerta temprana. ENSO ha sido previamente estudiado en Ecuador a partir de datos de pluviómetros, sin embargo su impacto en los patrones espaciales de pre...

Understanding spatio-temporal precipitation patterns and how they are influenced by tropical Pacific Sea Surface Temperature (tP SST) are important to predict the spatial impact of ENSO events and develop early warning systems. While ENSO has been previously studied in Ecuador using raingauge data, its impact on the spatial rainfall pattern is unkn...

RESUMEN Las infraestructuras de datos espaciales (IDE), a causa del cambio propiciado por tendencias tecnológicas como son dispositivos móviles, sensores y web2.0, están convergiendo hacia sistemas móviles, en tiempo real y con participación activa de los ciudadanos. Si bien estas tendencias ya han sido analizadas e integradas como parte de las ID...

Recibido: 31 de octubre 2013 / Aceptado: 22 de noviembre 2013 RESUMEN Los avances en la tecnología celular y dispositivos móviles inteligentes han generado una masiva incursión de estos equipos en la sociedad actual. En el ámbito de las infraestructuras de datos espaciales (IDE), los dispositivos móviles están promoviendo importantes cambios. Por e...

La contaminación del aire ambiente es una constante amenaza para la salud humana y el ambiente, requiriendo la toma de decisiones respecto a la prevención, control y mitigación de sus impactos. Para tal in el GAD Municipal del cantón Cuenca, y en particular la Empresa Municipal de Movilidad Transito y Trasporte (EMOV-EP), dispone de una estación de...

In case of an environmental accident, initially available data are often insufficient for properly managing the situation. In this paper, new sensor observations are iteratively added to an initial sample by maximising the global expected value of information of the points for decision making. This is equivalent to minimizing the aggregated expecte...

La información geográfica, es decir con referencia geográfica, está experimentando una expansión sin precedentes. Tres factores de cambio contribuyen a ello: 1) el posicionamiento de la geografía como el eje central para la integración de la información multidisciplinar; 2) el acceso a datos dinámicos y en tiempo real a través de sensores; y 3) el...

In this paper, new observations are iteratively added by maximising the global expected value of information of the points, for decision making. The method accounts for measurement error and different costs of type I and type II errors. Constraints imposed by a mobile sensor web are accommodated using cost distances to decide which sensor moves to...

Mobility management functions in WSNs are mainly being developed from a ommunicational point of view, since the focus has been on maintaining the network connectivity. However, from a sensing point of view, sensor mobility has also an impact on the network spatial coverage. In mobile WSNs, the extension of the spatial coverage is often changing, an...

Wireless Sensor Networks (WSNs) produce changes of status that are frequent, dynamic and unpredictable, and cannot be represented using a linear cause-effect approach. Consequently, a new approach is needed to handle these changes in order to support dynamic interoperability. Our approach is to introduce the notion of context as an explicit represe...

The study and analysis of human mobility patterns and their relationship with the environment can provide us with a better understanding of certain aspects of human behaviour. New, ubiquitous and non-intrusive devices have made it easier to place sensors in mobile phones, Personal Digital Assistants (PDAs) or even clothing, providing us with relati...

Resumen El presente artículo se centra en la descripción de las distintas iniciativas y acciones que está realizando la Infraestructura de Datos Espaciales de España (IDEE) para promover la adecuada y generalizada creación de metadatos en los organismos pertenecientes a la Administración General del Estado (AGE), en la Administración Regional y Loc...

The Spanish National Spatial Data Infrastructure (IDEE for Infraestructura de Datos Espaciales de España), is a project started up in 2002 and coordinated by the National Geographic High Council, a governmental body composed by representatives of producers of reference and thematic digital geographic data at national level (National Geographic Inst...

The present article deals with the definition of a repository-catalogue of styles applicable to the cartographic representation of different geographic features, based on the normalized symbols of the different Cartographic Organizations, such as «Instituto Geográfico Nacional», «Ministerio de Medio Ambiente», «Instituto Nacional de Estadística», e...

The recognition and comprehension of 2D forms in cartography advised by graphic semiology [BER, 1967] and [BER1988] is restricted by continuous perceptive contrasts leading to the creation of a perceptive model of reality. The transgression of perceptive contrasts facilitates the creation of false images against which it is difficult to fight. Such...