113 results about "Thematic map" patented technology

The invention discloses a plateau mountain road disaster identification method and system based on multi-source remote sensing image restoration and super-resolution reconstruction. The method comprises the following steps: acquiring and preprocessing a multi-source remote sensing image of a plateau mountain region, and extracting landform measurement parameters based on a digital elevation model; a super-resolution reconstruction network fusing deformable convolution and Transform is constructed, and a low-resolution image is reconstructed by using constraint training of a composite loss function containing geomorphic measurement parameters; performing feature extraction and adaptive weighted fusion on the preprocessed image and the reconstructed high-resolution image; based on the fused image, utilizing a multi-task deep learning model to identify landslide, debris flow and roadbed subsidence disasters along the highway; and carrying out morphological optimization and boundary refinement under GIS constraint on an identification result, and outputting a disaster thematic map. According to the invention, the precision and reliability of road disaster identification in a complex terrain environment are effectively improved.

The invention discloses a plateau mountain plant invasion prevention and control ecological barrier forest grass belt configuration optimization method, and relates to the technical field of ecological barrier construction, and the method comprises the steps: collecting basic ecological data of a target research region, and generating an ecological thematic map through preprocessing and visual marking; investigating and counting invasive plant distribution data of the target area, and mapping the invasive plant distribution data to the ecological thematic map to generate an invasive plant distribution thematic map; determining an intrusion source ground and an intrusion path through spatial analysis and diffusion path analysis; performing grade evaluation on the protection area based on the intrusion distribution data, superposing an intrusion path and risk grade information, and determining an ecological barrier range; and constructing an ecological barrier forest and grass belt system, outputting a configuration scheme, and implementing plant invasion prevention and control. The technical problem that in the prior art, accurate prevention and control of invasive plants in a complex ecological environment are difficult due to insufficient comprehensiveness is solved, and the technical effect of optimizing the prevention and control effect on the invasive plants in the target research area is achieved.

The invention provides a high-precision soil three-dimensional surveying and mapping method based on radar detection, and the method comprises the steps: carrying out the radar data collection of target region soil, and enabling the radar data to comprise three-dimensional laser point cloud data collected by a laser radar and two-dimensional ground radar data collected by a ground detection radar; separating ground points from the three-dimensional laser point cloud data through an end-to-end trained semantic segmentation network, modeling a digital ground model, and matching and registering the two-dimensional ground radar data and the three-dimensional laser point cloud data through a filtering algorithm to generate a three-dimensional soil visualization model, and extracting soil attribute parameters from the three-dimensional soil visualization model, and generating a thematic map for reflecting soil physicochemical property spatial distribution of the target area. Through accurate acquisition and fusion expression of multi-dimensional, multi-scale and multi-temporal soil information, the precision, reliability and comprehensive application value of soil surveying and mapping can be well improved.

Thematic map preparation method and apparatus, a storage medium and an electronic device are provided. The method includes: preparing a map style master based on an aimed application field; generating metadata information corresponding to the map style master, wherein the metadata information includes a mapping relationship between each of the geographical units in the map style master and the initial color identification corresponding thereto, and the metadata information further includes location information about the legend in the map style master; processing original input data, and acquiring an attribute color identification of each geographical unit in the original input data; and replacing the initial color identification corresponding to each of the geographical units in the map style master with the attribute color identification, and updating the legend, so as to obtain a thematic map of the original input data when aimed at the application field.

The invention discloses a GIS-based site vertical design earthwork volume calculation method and system, and relates to the technical field of earthwork volume calculation, and the method comprises the steps: constructing a site current situation DEM according to a topographic map; constructing a site design DEM according to the vertical design drawing; performing grid analysis on the site design DEM and the current situation DEM to obtain grid data of earth surface filling and excavation; in combination with control and regulation data, the earth surface filling and digging earth volume of each pattern spot of the planned land is calculated; calculating underground engineering excavation amounts of building underground spaces, subways and underground comprehensive pipe galleries of each pattern spot of the planned land; and calculating to obtain the total filling and digging amount of each pattern spot of the planned land, and generating a filling and digging thematic map. The system comprises a current situation DEM construction module, a design DEM construction module, an earth surface excavation and fill amount calculation module, an underground engineering excavation amount calculation module and a total excavation and fill amount calculation module. The method is simple, convenient, high in efficiency and precision, low in cost, wide in application range and more reasonable and accurate in calculation result by considering the unearthing amount of the underground engineering, and provides a more reliable basis for vertical design and construction of a site.

The invention belongs to the technical field of mineral exploration, and particularly discloses a copper ore prospecting method based on three-dimensional geological modeling. The method comprises the following steps: acquiring geological data of a target area; after extreme values in the geological data are recognized and removed through a box plot, the geological data are mapped to an interval of [0, 1], and the geological data are divided into terrain data, stratum data and mineral resource data; adopting Kalman filtering to enable the data to form fusion data, and generating a thematic map comprising a geological map, a mineralization anomaly map and a topographic slope map; based on the data and the thematic map, constructing a three-dimensional geologic model by a finite element method, and performing mining path planning by adopting a specific path planning algorithm formula; exploring by the mining equipment according to the planned path, acquiring geological data, comparing the geological data with the predicted data, re-planning the path and continuing exploring if the path is blocked, the resource recovery is out of tolerance and new mineralization is abnormal, otherwise continuing exploring according to the planned path. The method has the advantages of being high in exploration efficiency and data precision, low in comprehensive cost and high in adaptability.

The invention discloses an intelligent interactive thematic map generation system and method based on a large language model. Comprising a large language model module, a thematic map template library, an intelligent data source management module, an intelligent cartographic engine, an interactive optimization module, a user interaction configuration module, a configuration library, an external service interface module, a model data quality verification module, a thematic map personalized correction module and the like. A user interactively selects a template, specifies a data source and describes drawing requirements through a natural language, LLM drives an intelligent drawing engine to generate a thematic map, fine adjustment and real-time optimization of the user are supported, and user-friendly, efficient and flexible thematic map making is achieved. Meanwhile, the system has the functions of data quality verification, personalized configuration, interactive history learning and the like, a powerful tool is provided for non-professional users to quickly customize and finely adjust thematic maps, and the intelligent level and adaptability of thematic map making are greatly improved.

The invention provides a city physical examination method and device and electronic equipment. The method comprises the following steps: acquiring two-dimensional map data and overground and underground full-space three-dimensional model data of a target city; grouping components in the two-dimensional map data and the above-ground and underground full-space three-dimensional model data according to a preset business dimension to obtain a plurality of component groups corresponding to the target city; based on the multi-dimensional component information of the plurality of component groups, constructing a knowledge graph corresponding to the target city; performing city physical examination on the target city based on the knowledge graph to obtain a city physical examination report; and generating a three-dimensional space-time thematic map corresponding to the target city based on the city physical examination report, the two-dimensional map data and the overground and underground full-space three-dimensional model data. According to the invention, the accuracy and diversity of urban physical examination question judgment can be improved, and the three-dimensional space-time thematic map can be automatically generated.

The invention, which relates to the technical field of remote sensing and image processing, discloses a multispectral and visible light image automatic surface feature classification system comprising a surface feature data acquisition module, a surface feature feature extraction module, a surface feature classification module, a category arbitration module and a category mapping module. After surface feature data are collected and preprocessed, a feature extraction module extracts multispectral and visible light features, a surface feature classification module constructs a model to output probability distribution of various surface features, a category arbitration module intelligently decides and outputs a final category, and a category mapping module generates a surface feature classification thematic map and a report and sets an alarm threshold and a feedback instruction. According to the method, efficient fusion of multispectral and visible light images and automatic ground object classification are realized, the classification precision and efficiency are improved, classification errors are reduced through intelligent decision arbitration, generated thematic maps and reports are visual and easy to use, the monitoring and response capability of ground object changes is enhanced through setting of an alarm threshold value and a feedback instruction, and the method is suitable for large-scale popularization and application. Wide application prospects and values are realized.

The invention relates to the field of remote sensing technology and land resource management, and discloses a remote sensing image-based regional land utilization data change detection method, which comprises the following steps of: obtaining multi-temporal remote sensing image data of a research region; preprocessing of geometric correction, radiation correction and noise removal is carried out on the remote sensing image; carrying out preliminary classification on the image data by adopting an unsupervised classification method, and correcting a classification result in combination with field collected data; constructing a transfer matrix according to a classification result, performing change detection on the classification result of the multi-temporal image, and analyzing a conversion relation and area change among different land classes; and generating a thematic map to display land class distribution and change trend, and outputting a statistical analysis result. According to the method, quantitative analysis and visual display are combined, the land utilization change rule can be efficiently and accurately reflected, a scientific basis is provided for regional land resource management and planning, the applicability is high, and the implementation cost is low.

The invention discloses a distribution network intelligent mapping modeling and analysis system and method based on a topology model, and relates to the technical field of distribution network mapping, and the modeling and analysis system comprises a data source module which is used for obtaining distribution network basic data; the data processing module is used for converting the equipment model data and the topological relation data into graph-forming connecting line relation structure data, calculating the equipment graphic element size, the station building pixel size and the graph-forming canvas size, and assembling station building internal equipment interval data; determining arrangement coordinates of the equipment in the canvas by adopting a force-oriented layout algorithm; assembling interval data of equipment in the website room according to the equipment topology association relationship group, and calculating the arrangement spacing of the equipment in each interval; the whole process automation of the distribution network thematic map from data to map formation is realized, and the drawing efficiency and accuracy are greatly improved; through force-oriented layout and a multiple optimization algorithm, a graph which is reasonable in layout, clear and easy to read is generated; and the consistency and linkage of the graph and the data source are ensured.

The invention discloses a method for evaluating mining-induced water inrush and sand inrush dangerousness after grouting transformation of a loose aquifer, which specifically comprises the following steps of: firstly, obtaining hydrogeological characteristics and parameters before and after grouting of the loose aquifer, and evaluating a grouting transformation effect; the method comprises the steps that firstly, a working face geologic prototype is established, then a hydrogeological engineering geologic model after grouting of a research area is established in combination with the working face geologic prototype, then a water inrush source is determined based on physical simulation and numerical simulation test results of the geologic model, and a water inrush source criterion thematic map, a mining influence criterion thematic map and a water inrush channel criterion thematic map are established; and finally obtaining a danger contour map in the research area and carrying out area division. The mining influence, the water inrush source and the water inrush channel factors are considered, the corresponding criterion thematic maps are accumulated and summed to obtain the danger contour map in the research area, area division is performed, the mining water inrush and sand inrush danger after grouting of the unconsolidated aquifer can be accurately evaluated, and a basis is provided for safe mining of a coal mine.

The invention discloses a vibroflotation pile composite foundation quality evaluation method based on an AHP-entropy weight method. The method comprises the following steps: constructing a multi-dimensional analysis model; four master control influence factors of quality evaluation are obtained based on the multi-dimensional analysis model; weighting the influence factors based on an AHP subjective weighting method and an entropy weight objective weighting method, and obtaining a combined weight; obtaining a normalized thematic map of each influence factor evaluation index based on a Kriging interpolation method; superposing the normalized thematic maps based on a GIS superposition coupling function to obtain a quality quantification index type partition evaluation map of the whole area of the composite foundation; and carrying out partition evaluation on the quality of the vibro-replacement stone column composite foundation in the whole region. According to the method, the multi-dimensional analysis model is constructed to obtain the combination weight of each index, so that the evaluation is comprehensive, and the error of the evaluation result is greatly reduced; the influence factors are coupled in the same graph and are subjected to partition evaluation, so that the evaluation precision of the processed foundation is improved.

According to the automatic finishing configuration method for the geographic information annotation of the thematic map, an annotation method for establishing point, line and surface elements in the thematic map as well as image name, legend and thematic icon finishing elements is established, so that the drawing efficiency of the thematic map is improved, the annotation drawing work of the thematic map is enabled to be one-key, and the automation of drawing the thematic map by CorelDRAW is realized; the method comprises the following steps: establishing an annotation configuration rule of each element, configuring each annotation on a graph according to the corresponding rule, judging whether the annotations conflict or not by establishing a model algorithm and shifting, and automatically configuring the annotations of the line elements by utilizing a method of equidistantly segmenting the line elements. And realizing direct layer simplification of the line element cdr file. According to the method, a graph name annotation configuration scheme, a legend configuration scheme and a statistical graph annotation configuration scheme are established, automatic configuration of graph names, legends and statistical element annotations is achieved in CorelDRAW through rules, the drawing efficiency is improved, and beautification and expression of thematic maps are achieved.

The invention particularly relates to a spatial analysis method based on large model agent driving. According to the spatial analysis method based on large model agent driving, syntactic analysis and intention recognition are carried out on a spatial problem described by a natural language through a large model, and spatial-temporal clustering, network analysis and a field simulation algorithm module are dynamically matched; packaging a heterogeneous algorithm into a standardized service component based on a model context protocol (MCP), and automatically constructing an analysis process chain; and integrating a GIS engine and a visual template library, generating a dynamic thematic map according to the processed spatio-temporal data through the visual engine, and superposing multi-dimensional analysis annotations. According to the spatial analysis method based on large model agent driving, the full-chain intelligent capability from data processing to decision support is constructed, the efficiency and precision of spatio-temporal evolution modeling are remarkably improved, meanwhile, the system integration and maintenance cost is reduced, the method is suitable for high-complexity scenes needing real-time spatio-temporal data analysis, and the method is suitable for popularization and application. And the method has remarkable technical innovation and industrial application value.

The invention provides a geological map standard symbolization method, electronic equipment and a storage medium, and relates to the technical field of geological map standard symbolization, and the method comprises the steps: obtaining target vector data related to geological data to be rendered; obtaining an initial annotation font list A; adding a preset field to each initial annotation font in the A to obtain a middle annotation font list B corresponding to the A; establishing a first mapping table QT; encoding the middle labeled fonts in the QT to obtain a target font library C; slicing the target fonts in the C to obtain a vector slice list set D corresponding to each zoom level; rendering the target vector data according to the zoom level of the user in the preset historical time period T0 and the C; according to the method, the problems that the symbolization technology generally has insufficient flexibility and customization of a symbolization system, the symbolization process is tedious, errors are easy to introduce and the like when the symbolization technology is used for processing a complex thematic map can be avoided.

The invention relates to a rice blast forecasting method coupled with multi-source data, and solves the problem of insufficient forecasting precision caused by single data source in the existing method. The method comprises the following steps: constructing a historical long-time-sequence meteorological product database; constructing a historical disease promoting index according to the historical long-time-sequence meteorological product database; a disease promoting index in the next three days is constructed based on weather forecast data; constructing a rice growth monitoring model based on MODIS data, and determining the rice growth level; the method comprises the following steps of: constructing an improved rice blast disease promoting index model, performing normalization processing on a disease promoting index, converting a disease promoting index layer after grid normalization into a vector point location layer by utilizing a GIS layer conversion method, and performing interpolation processing on the vector point location layer by utilizing a Kriging interpolation method; cutting the interpolation processing result according to the rice distribution data of the target area; and outputting an improved rice blast disease promoting index grade thematic map. According to the invention, multi-source data can be coupled to carry out accurate and periodic forecasting on the rice blast.

The invention belongs to the technical field of information remote sensing, and particularly discloses a port and bridge large-scale target thematic map generation method based on an SAR technology, and the method comprises the steps: obtaining multi-temporal synthetic aperture radar image data of a port region, processing the original signal intensity distribution of the image data through denoising and filtering, and obtaining a smoothed scattering intensity map; according to the scattering intensity graph, extracting echo amplitude and phase information of a target area, fusing multi-polarization channel data, and determining a scattering characteristic parameter set; grouping the scattering characteristic parameter set based on a clustering algorithm, and separating preliminary clustering results of facility classes and residue classes to obtain feature vector representation; matching the feature vector representation with a stored shape template according to a pre-established feature database; the objective of the invention is to solve the problem in the prior art that environment management is difficult to accurately position a business scene due to mixed distribution of facilities and residues in a port area.

The invention discloses a harmonic spectrum information cutting-based flood inundation range remote sensing rapid extraction method, which comprises the steps of S1, converting an obtained remote sensing image from an RGB color space to an HSV color space, extracting spectral information of the image, and decomposing the spectral information into harmonic spectrum components; s2, constructing an improved clustering model based on a density peak value clustering algorithm, and clustering pixel points in the remote sensing image into a suspected water body class and a non-water body class; s3, optimizing a clustering result through a semantic segmentation network, taking the clustered image as input, and outputting a water body and non-water body segmentation result; and S4, in combination with geographic coordinate information of the remote sensing image, geocoding is performed on the segmentation result, and a thematic map containing the flood inundation range is generated. According to the method, the accuracy and efficiency of flood inundation range extraction are improved, and accurate distinguishing between a water body and a non-water body and rapid obtaining of inundation range changes are achieved.

The invention provides a road network ecological bearing capacity estimation method and system based on multi-source remote sensing data, and relates to the technical field of remote sensing technology and ecological evaluation. The method comprises the following steps: acquiring a multispectral remote sensing image and ecological system basic data for preprocessing; supervising and classifying the remote sensing image to extract linear ground feature pattern spots and construct a topological relation to obtain road network topological structure data; associating the historical traffic flow statistical data with the road network space and performing interpolation to generate day and night noise spatial and temporal distribution data; extracting habitat distribution data based on the habitat type thematic map and the historical field survey point of the species, and obtaining acoustic sensitive threshold data of the species in combination with behavior experiment records; according to the method, noise spatial-temporal distribution data and habitat distribution data are superposed, noise data in a habitat range are screened out, then the noise data are compared with an acoustic sensitive threshold pixel by pixel, the total area of pixels exceeding the threshold is counted to serve as a road network ecological interference index, and accurate estimation of road network ecological interference is achieved.

The invention relates to the technical field of urban hydrological simulation. The invention discloses an urban community surface ponding simulation method considering a roof structure, and the method comprises the steps: obtaining a regional multi-angle picture through an oblique photography unmanned plane, generating an oblique photography model through image processing, and reconstructing a digital surface model according to the oblique photography model; ground data are separated from the DSM through a PMF method, roof data are extracted in combination with building features, mask data are output, other ground features are removed, and building roof elevation grid data are obtained; calculating the gradient of the roof, dividing the gradient into flat and sloping roofs, building drainage structures into roof drainage models, integrating the roof drainage models with the urban community hydrological model considering the roofs, and running to realize surface ponding simulation. The method comprises the following steps: building a high-precision model through an oblique photography unmanned aerial vehicle and a GIS, separating ground data through a PMF, and accurately dividing a flat / slope roof through median filtering and an SVM; special drainage structures are arranged for the two types of roofs; and integrating the roof drainage model and a two-dimensional coupling hydrological model, and outputting an accumulated water thematic map.

The invention discloses an intelligent automatic drawing system and method, and relates to the technical field of agricultural remote sensing monitoring. The method comprises the following steps: acquiring a multi-temporal remote sensing image of a farmland area, performing preprocessing and spatial alignment, dividing the farmland into spatial units, extracting time sequence spectrum and vegetation index characteristics of the spatial units, and forming a visual characteristic vector sequence; analyzing the sequence by using unsupervised clustering, and automatically identifying the time sequence evolution trajectory categories representing different growth states; and finally, the system automatically marks the space units which are judged to be abnormal categories on a map, generates early warning and outputs a farmland abnormity thematic map. The system comprises a data preprocessing module, a data preprocessing module, a track classification module and an abnormal graph generation module. According to the invention, full-automatic and intelligent dynamic monitoring and abnormity identification of the farmland growth state are realized, the limitation of traditional single-temporal analysis or artificial visual interpretation is overcome, and the monitoring efficiency and objectivity are significantly improved.

The invention discloses a template design-based geochemical thematic map batch production method, which comprises the following steps of: acquiring geochemical data of a research area, determining a data symbolization scheme, a gridding strategy and a color gradation scheme based on spatial distribution characteristics of the geochemical data, a point location data graph, a point location symbol graph, a geochemical graph and a single element anomaly graph are made in batches; constructing a design template of the thematic map, wherein the design template comprises geographic elements used for describing geographic information and auxiliary elements used for describing visual parameter information; and applying the design template to the result map, carrying out logic association on the auxiliary elements and the geographic elements in the design template, and generating geochemical thematic maps of the research area in batches. According to the method, the normativity of the map is improved while the drawing efficiency is improved, the reconfigurability is good, and effective data management and multi-scale expression of data achievements are realized.

The invention provides an intelligent query method and device based on a thematic map, and relates to the technical field of artificial intelligence. And inputting the thematic map and the text query instruction into the multi-modal expert model to obtain a target query result output by the multi-modal expert model. According to the intelligent query method based on the thematic map, on the basis that the thematic map is accurately analyzed, comprehensive perception and analysis of the space environment are improved, and efficient and accurate thematic map query is achieved.

The invention relates to a method, a device, equipment and a computer program product for controlling a robot. The method includes acquiring a basic map indicating information of an environment where the robot is located and a thematic map indicating control attributes. The method further includes determining a value of a control attribute associated with the pose based on the pose of the robot and the thematic map. In addition, the method includes controlling the robot based on the base map and the value of the control attribute. In this way, the thematic map can have additional control attributes which are not possessed by the basic map, so that the robot can be controlled to execute various additional functions. When a new function is expanded, a new thematic map can be overlaid on the basis of the basic map without modifying the basic map, so that the complexity of expanding the new function can be reduced.

The invention discloses a vibro-replacement stone column composite foundation quality evaluation method based on an objective weight method. The method comprises the following steps: obtaining a multi-dimensional vibro-replacement gravel pile composite foundation quality evaluation influence factor; assigning the index weight of each influence factor based on a CRITIC weight assignment method; obtaining a normalized thematic map of each influence factor evaluation index based on a Kriging interpolation method; superposing the normalized thematic maps based on a GIS superposition coupling function to obtain a quality quantification index type partition evaluation map of the whole area of the composite foundation; and dividing and grading the quality quantitative index type partition evaluation graph, so as to perform partition evaluation on the quality of the vibro-replacement gravel pile composite foundation in the whole region. According to the method, all the influence factors are coupled in the same graph through a GIS superposition coupling function and are subjected to partition evaluation, the problem that the quality evaluation dimension is single is solved, all-region partition evaluation grading can be achieved, and the precision of foundation evaluation after processing is improved.

Control zones are identified on a thematic map and work machine actuator settings are identified for each control zone. A position of the work machine is sensed and actuators on the work machine are controlled based on the control zone that the work machine is in, and based upon the actuator settings corresponding to the control zone. The control zone is then divided, on a display, into a harvested portion of the control zone on which an observed condition value is shown, and control zone that has yet to be harvested, on which an estimated value of the condition is shown.

The invention relates to a power distribution network thematic map generation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring archive information and topological data of each element in the power distribution network; according to a preset conversion mode, converting the archive information and the topological data of each element into a format for mapping to obtain mapping information of each element; in response to a thematic map generation request for the target thematic, screening out to-be-displayed information corresponding to the target thematic from the map formation information according to a preset screening condition corresponding to the target thematic; and generating a power distribution network thematic map corresponding to the target thematic according to the to-be-displayed information. The method can improve the power distribution network diagram generation efficiency.

The invention belongs to the technical field of mine geological disasters, and particularly relates to a coal mine area surface collapse damage degree evaluation and prediction method. According to the method, through field geological survey and data collection, a coal mining ground collapse land damage degree evaluation classification and grading standard is established, and the current situation of the ground collapse land damage degree of a mined working face is evaluated; carrying out statistics on drilling data in the surface collapse influence range of the mined working face, and establishing a Fisher discrimination model by taking the land damage degree of the surface collapse of the mined working face as a discrimination result; and finally, counting all drilling data of the mining area, applying the data to the established Fisher discrimination model, and predicting the damage degree of the mining area coal mining ground collapse land. A factor thematic map is established according to a GIS spatial analysis method, and a ground collapse land damage degree map is obtained according to a judgment prediction result, so that accurate and reliable quantitative prediction of the coal mining ground collapse land damage degree of a to-be-mined area of a coal mine area is realized.

The embodiment of the present invention discloses a method, device, storage medium and program product for generating a flow calculation thematic map. The method includes: obtaining power grid equipment resource data and power grid equipment asset data; constructing a power grid topology map according to the power grid equipment resource data, and simplifying the power grid topology map based on the preset reserved node type to generate a simplified power grid topology map; superimposing the power grid equipment asset data into the simplified power grid topology map to generate a parameter superposition topology map; dividing the parameter superposition topology map into multiple segmented paths, and merging each intermediate node between the two end nodes of each segmented path to determine the cable segment set node corresponding to the segmented path; combining the end nodes corresponding to each segmented path and the cable segment set node to generate a flow calculation thematic map; wherein the power grid topology map and the simplified power grid topology map are homeomorphic topologies. The generated flow calculation thematic map is more concise, intuitive and easy to calculate without losing the attribute data related to the calculation.