This article gives a brief overview of classical spatial statistics. Three main types of spatial data are considered: geostatistical data, lattice data, and spatial point patterns. Modeling themes common to all three data types are emphasized. In addition, some basic structural identification procedures for each data type are described. Finally, maximum likelihood estimation and spatial predict...

Identification and localization of task-relevant objects is an essential problem for advanced service robots. We integrate state-of-the-art techniques both for object identification and object localization to solve this problem. Based on a multilevel spatial representation architecture, our approach integrates methods for mapping, self-localization and spatial reasoning for navigation with visu...

Wireless sensor networks (WSNs) being an assembly of hundreds or thousands of sensor nodes, each with sensing (temperature, humidity, sound level, light intensity, magnetism, etc.) and wireless communication capabilities, provide vast opportunities for monitoring and mathematical modeling the spatial information about a region of interest. Starting from the measurements collected by sensor node...

the complexity of urban systems in our recent world, make it difficult to evaluation and explanation of their changes with traditional and customarily methods. in the past, remote sensing has shown an ability to detect and describe urban growth patterns at different spatial scales. with new remote sensing devices (e.g. ikonos), with innovative image processing techniques and with further develo...

introduction one of the critical issues associated with sustainability in the twenty-first century is how cities are growing and developing in the space. rapid urban growth and physical development of cities cause disintegration of the spatial organization of cities and consequently spatial inequality between urban spaces. this phenomenon can be considered as spatial segregation or fragmentatio...

The conventional clinical and practical examination is overwhelmed with several problems. Although marking should depend only on student variability, patient (or in the case of practical experiment) variability and examiner variability significantly affect scoring. These defects of clinical and practical examinations have been realized for long and have given rise to attempts at improving the c...

In recent evaluations of automatic language recognition systems, phonotactic approaches have proven highly effective [1][2]. However, as most of these systems rely on underlying ASR techniques to derive a phonetic tokenization, these techniques are potentially susceptible to acoustic variability from non-language sources (i.e. gender, speaker, channel, etc.). In this paper we apply techniques f...

HelioClim-3 (HC3) is a database providing time series of the surface downwelling solar irradiance that are computed from images of the Meteosat satellites. This paper presents the validation results of the hourly global horizontal irradiance (GHI) and direct normal irradiance (DNI), i.e., beam irradiance at normal incidence, of versions four and five of HC3 at seven Egyptian sites. The validati...

Spatial data quality (SDQ) is conventionally presented in the form of a report. The data quality statements in the report refer to the entire data set. In reality the quality of data varies spatially due to data collection methods, data capturing techniques, and analysis. Thus, the quality of spatial data for one area may not be applicable to spatial data describing other regions. The present s...