Spatial management refers to the management of the methods used by the public to influence the distribution of people in spaces of scales. It includes things like land use, environmental planning, and urban development.
Spatial distribution in organisms refers to how individuals are arranged in a given area. This can be random, uniform, or clumped. Factors influencing spatial distribution include resources availability, environmental conditions, and social interactions.
The regions of the parietal lobes involved in mathematical and spatial reasoning are the intraparietal sulcus and the superior parietal lobule. These areas play a key role in processing numerical information, spatial relations, and manipulating mental representations of objects.
Spatiology typically refers to the study of space, spatial configurations, or spatial relationships between objects. It explores how space influences our understanding of the environment and interactions within it.
Otolith organs, specifically the utricle and saccule, are positioned in all spatial planes except the semicircular canals in the inner ear. These organs are responsible for detecting linear acceleration and head positioning relative to gravity.
The vestibular sense is the sense that originates in the inner ear and is responsible for your spatial sense, balance, and orientation. It helps you maintain your body's position and stability as you move through space.
the spacial dimension of waste management came from earth
Spatial information management refers to the process of collecting, storing, analyzing, and disseminating geographic or spatial data. This involves using Geographic Information Systems (GIS) and other technologies to manage data related to locations, such as maps, satellite imagery, and geographic features. Effective spatial information management supports decision-making in various fields, including urban planning, environmental monitoring, and resource management, by providing insights into spatial patterns and relationships. It ensures that spatial data is accurate, accessible, and useful for various stakeholders.
Waste management involves both the physical space where waste is collected, processed, and disposed of (such as landfills, recycling facilities, and composting sites) as well as the spatial distribution of waste generation across different regions or communities. It also involves spatial considerations for transportation routes, proximity to residential areas, and environmental impacts on surrounding ecosystems.
Spatial information technologies refer to tools and techniques that capture, analyze, manage, and visualize location-based data. These technologies include Geographic Information Systems (GIS), Global Positioning Systems (GPS), remote sensing, and spatial analysis software. They are used in various fields such as urban planning, natural resource management, and emergency response for better decision-making and understanding spatial relationships.
Spatial modeling is a quantitative technique used to analyze and represent the spatial relationships and patterns of geographic phenomena. It involves the use of mathematical and computational methods to simulate processes and predict outcomes based on spatial data. Applications range from urban planning and environmental management to epidemiology and transportation. By incorporating spatial dimensions, these models help in understanding complex interactions and making informed decisions.
Spatial allocation refers to the process of assigning resources, activities, or populations to specific locations on a map or within a geographic area. It helps in optimizing the distribution of resources or services based on various spatial considerations such as accessibility, demand, or environmental factors. Spatial allocation is commonly used in urban planning, transportation, environmental management, and epidemiology.
The study of fauna in spatial perspective, also known as spatial ecology, focuses on how animals interact with their environment and how these interactions are influenced by spatial factors like habitat structure, resource distribution, and connectivity. This field helps researchers understand how animals move, disperse, and use space, and can provide insights into conservation and management strategies to protect wildlife populations.
The spatial dimension of coastal management involves understanding and addressing the various geographic scales at which coastal issues arise, from local to regional and even global levels. This includes the assessment of physical features like shorelines, ecosystems, and human settlements, as well as the interactions between them. Effective coastal management requires integrating land use planning, environmental conservation, and community engagement across these spatial scales to mitigate issues such as erosion, habitat loss, and climate change impacts. Additionally, spatial analysis tools, such as Geographic Information Systems (GIS), play a crucial role in visualizing and planning for these complex coastal challenges.
James H. Blaisdell has written: '[Representing spatial information in a computational model for network management]'
Spatial analysis is a set of techniques used to study and interpret spatial data, focusing on the relationships between geographic features and patterns. It involves the examination of data that has a geographical or spatial component, utilizing tools like Geographic Information Systems (GIS) to visualize and analyze spatial relationships. This analysis helps in decision-making across various fields, including urban planning, environmental management, and transportation. By understanding spatial patterns, analysts can uncover trends and inform strategic planning.
there is a reciprocal relationship between the spatial pattern and the spatial process.
William Hugh Lougheed has written: 'Spatial analysis in timber management planning' -- subject(s): Forest management, Forest policy, Forest conservation, Forests and forestry