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Spatial Analysis

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lightbulbAbout this topic
Spatial analysis is a set of techniques used to study the arrangement, organization, and relationships of spatial phenomena. It involves the examination of geographic patterns and processes through quantitative and qualitative methods, often utilizing geographic information systems (GIS) to analyze spatial data and derive insights about spatial relationships and trends.
lightbulbAbout this topic
Spatial analysis is a set of techniques used to study the arrangement, organization, and relationships of spatial phenomena. It involves the examination of geographic patterns and processes through quantitative and qualitative methods, often utilizing geographic information systems (GIS) to analyze spatial data and derive insights about spatial relationships and trends.

Key research themes

1. How can spatial analysis tools and software effectively integrate GIS and advanced statistical methods for comprehensive spatial data exploration and modeling?

This research area investigates the development and integration of spatial data analysis (SDA) functionalities within Geographic Information Systems (GIS) to enable efficient visualization, exploration, and statistical modeling of spatial data. The focus is on overcoming limitations posed by isolated or loosely coupled SDA and GIS software, enhancing user accessibility, supporting extensible architectures, and providing advanced analytical features such as spatial autocorrelation and spatial regression.

Key finding: GeoDa provides an interactive environment tightly integrating maps with statistical graphs using dynamically linked windows, allowing exploratory spatial data analysis (ESDA), construction of spatial weights, sensitivity... Read more
Key finding: The SAAR software integrates advanced spatial data analysis tools within a popular ArcGIS environment by bridging ArcGIS Engine components with R statistical functions. This tight integration supports a seamless workflow that... Read more
Key finding: The paper argues for the necessity of spatially explicit models in spatial data science that inherently incorporate spatial dependency and contextuality to capture complex spatial processes. It emphasizes that ignoring... Read more
Key finding: The work highlights the conceptual and methodological link between spatial statistics and spatial optimization via the bivariate spatial median concept applied in location-allocation problems. It demonstrates how spatial... Read more

2. What are the challenges and methodological advances in quantifying, visualizing, and assessing spatial uncertainty and sensitivity in spatial cluster and multiple criteria evaluations?

This theme focuses on handling uncertainty and sensitivity in spatial data and spatial decision-making. It covers approaches for quantifying uncertainty in spatial cluster boundaries detected by spatial scan statistics, frameworks for sensitivity analysis in spatial multiple criteria evaluation (S-MCE), and conceptual modeling of uncertainty types in spatial information. The goal is to improve reliability, robustness, and interpretability of spatial analytical results for better decision support.

Key finding: Introduces a novel function F(i) quantifying the certainty that specific locations belong to detected spatial clusters through spatial scan statistics for Poisson data. This method enables visualization and measurement of... Read more
Key finding: Proposes a comprehensive framework organizing sensitivity analysis techniques for spatial multiple criteria evaluation along three dimensions: spatiality, scope, and cardinality, emphasizing the spatially explicit examination... Read more
Key finding: Provides a conceptual taxonomy of uncertainty in GIS spatial information, distinguishing between error-based (probabilistic), vagueness, ambiguity (discord and non-specificity), and issues arising from poor object and class... Read more

3. How can spatial analysis elucidate urban spatial patterns and support decision-making in urban expansion, walkability, and segregation using quantitative and visualization methods?

This area examines spatial analysis applications to understand and quantify urban phenomena including urban growth dynamics, walking experience related to urban form, and residential segregation patterns. It leverages spatial statistical measures, GIS visualization, and modeling to support urban planning and policy by revealing spatial patterns, temporal changes, and social interactions within urban environments.

Key finding: Reviews quantitative indicators such as the Urban Spatial Expansion Index and Urban Expansion Intensity Index that measure the magnitude, velocity, and proportional changes in built-up area over time and space. These metrics... Read more
Key finding: Through a detailed spatial analysis focusing on 'eye level perception' and urban form, this study reveals how the physical environment of Hacettepe University Sıhhiye Health Campus influences walking behavior and experience.... Read more
Key finding: Presents a novel framework that decomposes differences in segregation indices into spatial structure and compositional factors using Shapley value analysis and counterfactual distributions. This approach addresses limitations... Read more
Key finding: Applies spatial statistical methods including mean center, weighted center, median center, and standard distance to characterize the spatial distribution and dispersion of urban centers. Using GIS techniques such as nearest... Read more
Key finding: Demonstrates the application of GIS-based spatial data visualization integrated with Knowledge Discovery in Databases (KDD) for healthcare facility location decisions. By mapping market share and patient travel patterns, the... Read more

All papers in Spatial Analysis

Desde épocas muy remotas las cuencas hidráulicas del Occidente de México fueron sitios privilegiados para la habitación humana, por su concentración de flora, fauna, agua, tierra fértil y otros elementos de importancia vital para la... more
A study was conducted to assess spatial variations in experimental plots through the global and local indicator of spatial autocorrelation of kenaf. Field data obtained from experiment conducted at both Ilora and Ikenne outstations of the... more
Het Kennisinstituut voor de Mobiliteit (KiM) beschrijft in “Chauffeur aan het stuur?” vier toekomstbeelden voor de zelfrijdende auto (ZRA). Deze beelden varieren zowel in de mate van automatisering (overal of met name op de snelweg) als... more
The objectives of this study were to evaluate the satisfaction levels of tourists from two generating regions, Asia and Europe towards their visit to historic city Bagan area and to study problems, which occurred during their stay in... more
Retail activity presence in urban space is of paramount importance when considering the vivacity, livability and walkability of streets and neighborhoods . Urban designers, planners and geographers highlight how some urban morphological... more
The URBAN’Air System, developed by NUMTECH with t e support of ADEME (Environment and Energy French Agency), is an operational modelling platform allowing to monit r and forecast air quality over urban areas. Based on the modelling code... more
The gravity models are commonly used spatial interaction models. They have been widely applied in a large set of domains dealing with interactions amongst spatial entities. The spread of vector-borne diseases is also related to the... more
Chagas disease (CD) is still a neglected disease. Infected individuals are diagnosed late, being treated in worse clinical conditions. Thus, this study aimed to analyze the prevalence and the factors associated with new confirmed cases of... more
Preamble Before beginning the survey, the survey teams were asked to read the following statement exactly as written (translated from Indonesian) "Thank you for giving me the opportunity to talk to you. My name is (insert name here). I am... more
This article analyzes the relationship between the spatial configuration and socio-economic factors to find the existence of the communities in the historical city of Phra Nakorn Sri Ayutthaya, an island area mainly covered with... more
We study methods for how to include the spatial distribution of tumours when investigating the relation between brain tumours and the exposure from radio frequency electromagnetic fields caused by mobile phone use. Our suggested point... more
Nordfors, U. & Paasikivi, S. 2025. Proteiinien tutkimus täydentää muinais-DNA:sta saatavaa tietoa. Teoksessa: Nordfors, U. & Meriluoto, M. (toim.) Muinais-DNA: Avain menneisyyteen: 262–281. Tietolipas 298. Helsinki: Suomalaisen... more
Nordfors, U. & Paasikivi, S. 2025. Muinais-DNA osana terveyden ja sairauden monitieteistä arkeologista tutkimusta. Teoksessa: Nordfors, U. & Meriluoto, M. (toim.) Muinais-DNA: Avain menneisyyteen: 174–203. Tietolipas 298. Helsinki:... more
Nowadays, the Mediterranean freshwater systems face the threat of water scarcity, along with multiple other stressors (e.g., organic and inorganic contamination, geomorphological alterations, invasive species), leading to the impairment... more
Baley necropolis (northwest Bulgaria) is a cremation necropolis from the 2nd millennium BC. Up to 2022, one hundred and sixty-four graves and features related to the mortuary practices were explored. The earliest graves date to the first... more
The study presents innovative method of generalizing spatial information into a single multidimensional data model technology based on multidimensional information objects (MIO). This advanced method is intended to describe various types... more
This article proposes a quantitative analysis to measure social vulnerability in a urban space, specifically in the area of the Municipality of Rome. Social vulnerability can be defined as a situation in which people are characterized by... more
The practice of producing drone videos for hobby or commercial purposes has already created a vast amount of open and free video datasets. When these videos are properly authored, time-stamped and geo-referenced, they receive... more
• Understand the difficulties in obtaining reliable data on the quality and quantity of faecal sludge production on a citywide scale. • Know which parameters are important for faecal sludge characterisation, how they are analysed, and... more
Understanding what determines species' geographic distributions is crucial for assessing global change threats to biodiversity. Measuring limits on distributions is usually, and necessarily, done with data at large geographic extents... more
There is growing need for reliable survey-based small area estimates of crime and confidence in police work to design and evaluate place-based policing strategies. Crime and confidence in policing are geographically aggregated and police... more
This paper explores the phenomenon of women's disempowerment and empowerment as the result of their childhood experiences. To this end, it draws on Chimamanda N. Adichie's novel, Purple Hibiscus. In this novel, Kambili and her brother... more
A Multidisciplinary methodology that describes for the watershed of Laguna de Tuxpan the climate, topography, geology, soil, vegetation and land use through GIS. The topography (maximum altitude of 1731 m). The bathymetry(capacity of... more
G2A is a lymphocyte-expressed G protein-coupled receptor whose genetic ablation results in the development of autoimmunity. Using HSV-TK reporter gene directed positron emission tomography (PET), we demonstrate that prior to any... more
The acceptable water quality standard varies based on the intended use of water. Therefore, the standard will be dramatically decreased while moving from Drinking, domestic, industrial and agricultural purposes. Water quality modeling... more
Introduction: This study aimed to determine the hotspot areas for Cutaneous Leishmaniasis (CL) in Fasa city and assess the relations between the geographical factors with CL incidence using spatial analysis. Materials and Methods: This... more
Cycling as one of a mode of transport in urban and residential areas has been determined as a solution for the urban issue. It is an active and environmentally friendly mode of travel. However, the relationship between physical built... more
The Guapimirim estuary is the main tributary of Guanabara bay and is located in the northeast portion. Although it is protected, this estuary has been experiencing strong anthropogenic pressure, which has led to changes in the natural... more
This article examines the key aspects of working with big data in databases, including their characteristics, architectures, and processing technologies. It analyzes modern solutions such as distributed computing (Hadoop, Spark), NoSQL... more
Econometricians have begun to devote more attention to spatial interactions when carrying out applied econometric studies. In part, this is motivated by an explicit focus on spatial interactions in policy formulation or market behavior,... more
Department of Urban and Regional Planning A AB BS ST TR RA AC CT T Riparian zones are vegetated strips of land located on each side of a watercourse or adjacent to a stationary water body. Ideally, the attributes of a riparian zone should... more
Resilience has been defined as the capacity of a system to absorb disturbance and reorganize while maintaining the same function, structure and identity. In Nairobi river basin, storm water drains have been developed to direct floods away... more
One traditional, although visionary goal of the remote sensing (RS) community is the development of operational satellite-based measurement systems suitable for automating the quantitative analysis of large-scale spaceborne multi-source... more
According to existing literature and despite their commercial success, state-of-the-art two-stage non-iterative geographic object-based image analysis (GEOBIA) systems and three-stage iterative geographic object-oriented image analysis... more
Wireless Sensor Networks (WSNs) are widely used for monitoring and observation of dynamic phenomena. A sensor in WSNs covers only a limited region, depending on its sensing and communicating ranges, as well as the environment... more
The availability of high-resolution satellite images allowed new applications, especially in urban areas. In Brazil, where up-to-date information is frequently missing in data banks at Municipal, State and Federal level, the information... more
Millions of tons of solid waste, mostly plastics, are annually dumped into the oceans, posing a major 21st-century environmental threat. Commercial shipping and ocean gyres exacerbate pollution on remote islands, resulting in the... more
The aim of this study was a spatial analysis of the pottery occurrence (potsherds) in the acropolis part of the Pobedim hillfort (Slovakia) using two spatial statistical methods (spatial autocorrelation and kriging interpolation) with the... more
Turkey is one of the few countries in the world with a favourable climate for hazelnut production. In addition, it has the leading position in world hazelnut production and export, supplying about 70% of world’s production. However,... more
The Rupat Island is one of the islands in Riau Province, Indonesia which generally consists of peat soil. Hence several coastal areas surrounded Rupat Island have been severely damaged due to the influence of the sea waves and tides.... more
Rejoice in the things that are present; all else is beyond thee." (Michel de Montaigne, 1533-1592, Essais) "Some things always are, without ever becoming; some things become, without ever being." (Plato, 424-348 BC, Timaeus
Fruit–frugivore interactions are crucial for the dynamics and regeneration of most forested ecosystems. Still, we lack an understanding of the potential variation in the sign and strength of such interactions in relation to variations in... more
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