Stay right where you are and you're doing both! You are occupying a particular space at a particular point in time.
The principle of locality states that programs tend to access data and instructions that are near each other in memory. This principle is the basis for memory caching strategies to improve performance by storing frequently accessed data closer to the processor. By exploiting spatial and temporal locality, memory access patterns can be optimized for faster processing.
Some strategies for exploiting spatial locality include using block-based memory access patterns to efficiently load multiple data items into cache at once, utilizing data structures that group related data together, and optimizing algorithms to minimize the number of cache misses by accessing nearby data in memory. Additionally, employing prefetching techniques can help to anticipate and load data into cache before it is needed.
To exploit spatial locality, programs arrange data access patterns to utilize nearby memory locations more frequently, reducing cache misses. Temporal locality is exploited by reusing recently accessed data, keeping it in a cache for quick retrieval before it is replaced. Techniques such as loop unrolling, prefetching, and optimizing data structures can help maximize both spatial and temporal locality in programs.
Temporal locality that is referenced at one point in time will be referenced again sometime in the near future Spatial locality that likelihood of referencing a resource is higher if a resource near it was just referenced
Temporal Locality: Concept that a resource will be referenced at one point in time will be referenced again. Cache miss traffic decreases fast when cache size increases and temporal locality determines sensitivity to cache size. Spatial Locality: Concept that likelihood of referencing a resource is higher if a resource near it was referenced. Cache miss traffic does not increase much when line size increases. Spatial locality determines sensivity to line size. ~BR Mukkaysh Srivastav Temporal Locality: Concept that a resource will be referenced at one point in time will be referenced again. Cache miss traffic decreases fast when cache size increases and temporal locality determines sensitivity to cache size. Spatial Locality: Concept that likelihood of referencing a resource is higher if a resource near it was referenced. Cache miss traffic does not increase much when line size increases. Spatial locality determines sensivity to line size. ~BR Mukkaysh Srivastav
The redundancy is nothing but the reduction.The temporal locality is of relating to short time requirements.And the spatial is of relating to over environment.The redundancy occur in the images are of most common,so many techniques applied to overcome this. In image temporal redundancy is of abrupt transitions while in spatial it is of block based transitions.Spatial is applied at minimum cost and temporal is at maximum cost.Threshold values apply to temporal redundancy and the pixel comparison technique applies to spatial redundancy.
Temporal Locality: Concept that a resource will be referenced at one point in time will be referenced again. Cache miss traffic decreases fast when cache size increases and temporal locality determines sensitivity to cache size.Spatial Locality: Concept that likelihood of referencing a resource is higher if a resource near it was referenced. Cache miss traffic does not increase much when line size increases. Spatial locality determines sensivity to line size.
Temporal locality: Refers to the idea that if a memory location is accessed, it is likely to be accessed again in the near future. Spatial locality: Indicates that if a memory location is accessed, nearby memory locations are also likely to be accessed in the near future. Data locality: Refers to the principle of keeping frequently accessed data in close physical proximity to reduce latency and improve performance.
It can be converted using a Shift register. A Serial-In-Parallel-Out(SISO) shift register is used to convert temporal code to spatial code. A Parallel-In-Serial-Out(PISO) shift register is used to convert spatial code to temporal code.
from a temporal standpoint: the future from a spatial standpoint: eternity from a spatio-temporal (philosophical) standpoint: possibility
Spatial resolution refers to the level of detail in an image or data based on the size of each pixel or grid cell, while temporal resolution refers to the frequency at which new data is collected or updated in time. In other words, spatial resolution relates to the clarity of the image, while temporal resolution relates to how often that image is updated or refreshed.
spatial mining is the extraction of knowledge,spatial relationships and intresting measures that are not explicitly stored in spatial database where as temporal mining is the extraction of knowledge about occurence of an event or values whether they follow cylic,random,seasonal variation etc...and other intrestion time related patterns.