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Neighbor Matrix
number of sites under consideration. The spatial weight matrix is a key quantity in the computation of many spatial indices like Moran's I, Geary's C, Getis-Ord
Spatial_weight_matrix
Measure of spatial autocorrelation
{\displaystyle x} ; w i j {\displaystyle w_{ij}} are the elements of a matrix of spatial weights with zeroes on the diagonal (i.e., w i i = 0 {\displaystyle w_{ii}=0}
Moran's_I
Spatial autocorrelation statistic
observed at the i t h {\displaystyle i^{th}} spatial site and w i j {\displaystyle w_{ij}} is the spatial weight matrix which constrains which sites are connected
Getis–Ord_statistics
Time series model
{\displaystyle i} -th spatial location and w i v {\displaystyle ~w_{iv}} refers to the i v {\displaystyle iv} -th entry of a spatial weight matrix and w i i =
Autoregressive conditional heteroskedasticity
Autoregressive_conditional_heteroskedasticity
Multivariate statistical technique
eigenanalysis of a spatially weighted covariance or correlation matrix. The spatial weight matrix can be constructed using techniques such as Delaunay triangulation
Spatial Analysis of Principal Components
Spatial_Analysis_of_Principal_Components
Techniques to study geometric data
standard deviational ellipse. These statistics require measuring a spatial weights matrix that reflects the intensity of the geographic relationship between
Spatial_analysis
Spatial correlation measure
{\displaystyle N} locations connected with the spatial weight matrix w i j {\displaystyle w_{ij}} first define the spatially lagged vector x ~ i = ∑ j w i j x j
Lee's_L
Spatial correlation coefficient
the mean and dividing by the variance as well as normalising the spatial weight matrix such that ∑ i j w i j = 1 {\displaystyle \sum _{ij}w_{ij}=1} we
Wartenberg's_coefficient
Machine learning technique
correlation-style matrix of dot products provides the re-weighting coefficients. In the figures below, W is the matrix of context attention weights, similar to
Attention_(machine_learning)
Measure of spacial autocorrelation
{\displaystyle w_{ij}} is the i t h {\displaystyle i^{th}} row of the spatial weights matrix W {\displaystyle W} with zeroes on the diagonal (i.e., w i i = 0
Geary's_C
Free geovisualization and analysis software
means of a spatial weights matrix, which can take various forms, but a very commonly used is the contiguity matrix. The contiguity matrix is an array
GeoDa
Signal processing technique used in radar
optimal weights for the antenna array. It can be shown, that for a given M N × M N {\displaystyle MN\times MN} interference covariance matrix, R {\displaystyle
Space-time adaptive processing
Space-time_adaptive_processing
Statistics of spatial association
N} spatial sites, where the neighbour relations between regions i {\displaystyle i} and j {\displaystyle j} are encoded in the spatial weight matrix w
Join_count_statistic
Type of feedforward neural network
are not shared. Instead, the network learns independent weights and biases for each spatial location. This allows each location to have its own feature-learning
Convolutional_neural_network
IQ test designed to measure intelligence in adults
has been split into Visual Spatial Ability (Block Design, Visual Puzzles) and Fluid Reasoning (Matrix Reasoning, Figure Weights). A complementary Fluid Reasoning
Wechsler Adult Intelligence Scale
Wechsler_Adult_Intelligence_Scale
Concepts from linear algebra
the matrix multiplication A v = λ v , {\displaystyle A\mathbf {v} =\lambda \mathbf {v} ,} where the eigenvector v is an n × 1 matrix. For a matrix, eigenvalues
Eigenvalues_and_eigenvectors
Notion in statistics
some initial results by Francis Ysidro Edgeworth). The Fisher information matrix is used to calculate the covariance matrices associated with maximum-likelihood
Fisher_information
Spatial prediction technique
to solve the kriging weights. Regression-kriging is an implementation of the best linear unbiased predictor (BLUP) for spatial data, i.e. the best linear
Regression-kriging
Algorithms for matrix decomposition
Non-negative matrix factorization (NMF or NNMF), also non-negative matrix approximation is a group of algorithms in multivariate analysis and linear algebra
Non-negative matrix factorization
Non-negative_matrix_factorization
Imaging system
integrity of the peptide spatial arrangement within the sample. The matrix must absorb at the laser wavelength and ionize the analyte. Matrix selection and solvent
MALDI_imaging
Array of processing elements specialized for parallelizable workloads
common workloads consist of matrix multiplications, convolutions, or, in general, tensor contractions. As such, spatial architectures are often used
Spatial_architecture
Tensor related to gradients
mathematics, the structure tensor, also referred to as the second-moment matrix, is a matrix derived from the gradient of a function. It describes the distribution
Structure_tensor
Function in probability theory
much two random variables change together (their covariance) with varying spatial or temporal separation. For a random field or stochastic process Z(x) on
Covariance_function
Signal processing algorithm
eigenvalues and eigen vectors of a spatially weighted anomaly covariance matrix of a field. Most commonly, the spatial weights are the cos(latitude) or, better
Multidimensional empirical mode decomposition
Multidimensional_empirical_mode_decomposition
Scalar measure of the rotational inertia with respect to a fixed axis of rotation
inertia matrix is a constant real symmetric matrix. A real symmetric matrix has the eigendecomposition into the product of a rotation matrix Q {\displaystyle
Moment_of_inertia
Type of artificial neural network
learn a global linear manifold between an object and its pose as a matrix of weights. In other words, capsnets can identify an object independent of its
Capsule_neural_network
Type of image blur produced by a Gaussian function
center point. Values from this distribution are used to build a convolution matrix which is applied to the original image. This convolution process is illustrated
Gaussian_blur
Method for estimating the unknown parameters in a linear regression model
.} The matrix X T X {\displaystyle \mathbf {X} ^{\operatorname {T} }\mathbf {X} } is known as the normal matrix or Gram matrix and the matrix X T y {\displaystyle
Ordinary_least_squares
Extension of the prisoner's dilemma
(2016). "The Optional Prisoner's Dilemma in a Spatial Environment: Coevolving Game Strategy and Link Weights". ECTA. Proceedings of the 8th International
Optional_prisoner's_dilemma
Signal processing system
Sample Matrix Inversion Algorithm Recursive Least Square Algorithm Conjugate gradient method Constant Modulus Algorithm Beamforming is spatial signal
Adaptive_beamformer
Ionization technique
spectrometry, matrix-assisted laser desorption/ionization (MALDI) is an ionization technique that uses a laser energy-absorbing matrix to create ions
Matrix-assisted laser desorption/ionization
Matrix-assisted_laser_desorption/ionization
Upper bound in coding theory
matrix is n − k {\displaystyle n-k} . Another simple proof follows from observing that the rows of any generator matrix in standard form have weight at
Singleton_bound
Method of representing systems
represented as an N×N matrix where N is the number of nodes, and whose entries tell you if two nodes share an edge. Typically, this matrix will have entries
Biological_network
Matrix-valued random variable
probability theory and mathematical physics, a random matrix is a matrix-valued random variable—that is, a matrix in which some or all of its entries are sampled
Random_matrix
Second stage of the memory process
version of the vector. The weight matrix of Hopfield Net, that stores the memory, closely resembles the one used in weight matrix proposed by Anderson. Again
Storage_(memory)
Type of parallel computing architecture of tightly coupled nodes
Leiserson who described arrays for many dense linear algebra computations (matrix product, solving systems of linear equations, LU decomposition, etc.) for
Systolic_array
naturally handled by machines with 4-element SIMD registers. 4×4 matrix A matrix commonly used as a transformation of homogeneous coordinates in 3D
Glossary_of_computer_graphics
Method of data analysis
_{(s)}^{\mathsf {T}}} and then finding the weight vector which extracts the maximum variance from this new data matrix w ( k ) = a r g m a x ‖ w ‖ = 1 { ‖
Principal_component_analysis
Clustering methods
of the similarity matrix of the data to perform dimensionality reduction before clustering in fewer dimensions. The similarity matrix is provided as an
Spectral_clustering
Norwegian manufacturing company
correlation between molecular weight and binding strength of PEG species. That is, individual PEG molecules bind to the matrix within a chromatography column
Polypure
Concept in machine learning
image or a video as a 2- or 3-way array, i.e., "data matrix/tensor", tensor methods reduce spatial or time redundancies as demonstrated by Wang and Ahuja
Tensor_(machine_learning)
Data analysis technique
indicator matrix (also called complete disjunctive table – CDT) or a Burt table formed from these variables.[citation needed] An indicator matrix is an individuals
Multiple correspondence analysis
Multiple_correspondence_analysis
Group of unitary complex matrices with determinant of 1
value 1, rather than real 1 in the special case. The group operation is matrix multiplication. The special unitary group is a normal subgroup of the unitary
Special_unitary_group
Measure of centrality in a network based on nodal influence
{\displaystyle A^{T}} denotes the transposed matrix of A and ( I − α A T ) − 1 {\displaystyle (I-\alpha A^{T})^{-1}} denotes matrix inversion of the term ( I − α A
Katz_centrality
AI's tendency to abruptly and drastically forget old info after learning new info
movement through a weight space. This weight space can be likened to a spatial representation of all of the possible combinations of weights that the network
Catastrophic_interference
Moving average and polynomial regression method for smoothing data
design matrix with entries ( x i − x ) j {\displaystyle (x_{i}-x)^{j}} ; W {\displaystyle \mathbf {W} } is a diagonal matrix of the smoothing weights w i
Local_regression
Classification of Artificial Neural Networks (ANNs)
are represented by weight matrix U; input-to-hidden-layer connections have weight matrix W. Target vectors t form the columns of matrix T, and the input
Types of artificial neural networks
Types_of_artificial_neural_networks
Ambient ionization technique
looking at both spatial and temporal distributions. In DESI there are two kinds of ionization mechanism, one that applies to low molecular weight molecules
Desorption electrospray ionization
Desorption_electrospray_ionization
Virtual recreation of a destructive car crash
self weight of the parts, or added loads from external masses. The forces and moments of all nodes are collected into a column vector (or column matrix),
Crash_simulation
Degree of connectedness within a graph
powers of the graph's adjacency matrix gives the number of walks of length given by that power. Similarly, the matrix exponential is also closely related
Centrality
System to capture, manage, and present geographic data
output, and visualize geographic data. Much of this often happens within a spatial database; however, this is not essential to meet the definition of a GIS
Geographic_information_system
AMD neural processing unit microarchitecture
supplements the Zen CPU and RDNA GPU on the same chip. XDNA employs a spatial dataflow architecture, where AI Engine (AIE) tiles process data in parallel
AMD_XDNA
Class of artificial neural networks
A_{uv}=w_{uv}} , i.e., by setting each nonzero entry in the adjacency matrix equal to the weight of the corresponding edge. The graph attention network (GAT) was
Graph_neural_network
Branch of physics
banded matrix inversion to calculate the weights of basis functions (when modeled by finite element methods); matrix products (when using transfer matrix methods);
Computational electromagnetics
Computational_electromagnetics
Inorganic, nonmetallic solid prepared by the action of heat
Ductile particle ceramic matrix composites are composed of ductile particles such as metals distributed in a ceramic matrix. These particles boost toughness
Ceramic
Board to support and connect electronic components
fiberglass or other filler, thickness variations, and bubbles in the resin matrix, and the associated local variations in the dielectric constant, are gaining
Printed_circuit_board
Statistical method for analysing climate data
r} is a vector of spatial weights. The first DCA pattern is given in terms the covariance matrix C {\displaystyle C} and the weights r {\displaystyle r}
Directional component analysis
Directional_component_analysis
Signal processing technique for sensor arrays
Beamforming or spatial filtering is a signal processing technique used in sensor arrays for directional signal transmission or reception. This is achieved
Beamforming
Mixing property of Markov chains and graphs
Mark Jerrum and Alistair Sinclair in 1988 to prove that the permanent of a matrix with entries from {0,1} has a polynomial-time approximation scheme. In the
Conductance_(graph_theory)
Statistic measuring inter-rater agreement for categorical items
{\displaystyle {\tilde {E}}} , and weights W {\displaystyle W} . In the observed distribution matrix (also known as the confusion matrix), each cell O i , j {\displaystyle
Cohen's_kappa
Study of spatial information
to obtain, analyze, interpret, understand, and communicate spatial information. The spatial data types a technical geographer employs may vary widely,
Technical_geography
Statistical method
jumping and weight lifting could be combined into a single factor such as general athletic ability. Usually, in an item by people matrix, factors are
Factor_analysis
Invariance of operations under geometric translation
Af=A(T_{\delta }f).} Laws of physics are translationally invariant under a spatial translation if they do not distinguish different points in space. According
Translational_symmetry
Study of classical optics using Fourier transforms
transform theory, Fourier optics makes use of the spatial frequency domain (kx, ky) as the conjugate of the spatial (x, y) domain. Terms and concepts such as
Fourier_optics
airport networks display heavy tailed statistical distribution of nodes' weight and strength. Disparity filter can sufficiently reduce the network without
Disparity filter algorithm of weighted network
Disparity_filter_algorithm_of_weighted_network
Group of 𝑛 × 𝑛 invertible matrices
n\times n} invertible matrices, together with the operation of ordinary matrix multiplication. This forms a group, because the product of two invertible
General_linear_group
Graphic-art effect
A box blur (also known as a box linear filter) is a spatial domain linear filter in which each pixel in the resulting image has a value equal to the average
Box_blur
NP-hard problem in combinatorial optimization
negative) weight, here denoted −w. (Alternatively, the ghost edges have weight 0, and weight w is added to all other edges.) The original 3×3 matrix shown
Travelling_salesman_problem
Method of interpolation
_{i=1}^{N}w_{i}(x_{0})Z(x_{i}).} The weights w i {\displaystyle w_{i}} are intended to summarize two extremely important procedures in a spatial inference process: reflect
Kriging
Spatial analysis software is software written to enable and facilitate spatial analysis. It comprises a broad class of tools designed to store, manipulate
List of spatial analysis software
List_of_spatial_analysis_software
Quantum mechanical effect
when two electrons are exchanged, i.e. interchanged with respect to both spatial and spin coordinates. First, however, exchange will be explained with the
Exchange_interaction
Clustering and community detection algorithm
{\displaystyle A_{ij}} represents the edge weight between nodes i {\displaystyle i} and j {\displaystyle j} ; see Adjacency matrix; k i {\displaystyle k_{i}} and
Leiden_algorithm
Voting systems that use ranked ballots
systems do not use ranking to transfer votes but instead use ranks as weights. These systems are called positional voting. In the Borda method, the least-favored
Ranked_voting
Joining of several channels of similar information to allow more efficient encoding
{\textstyle R={\frac {M-S}{2}}} . This form of coding is also sometimes known as matrix stereo and is used in many different forms of audio processing and recording
Joint_encoding
Machine learning technique
L2 norm: hidden state vectors, input and output embedding vectors, weight matrix columns, and query and key vectors. Gradient normalization (GradNorm)
Normalization (machine learning)
Normalization_(machine_learning)
Film of microorganisms on a surface
microorganisms in which cells that are frequently embedded within a self-produced matrix of extracellular polymeric substances (EPSs) adhere to each other and/or
Biofilm
Statistical modeling method
vectors xi and β. Often these n equations are stacked together and written in matrix notation as y = X β + ε , {\displaystyle \mathbf {y} =\mathbf {X} {\boldsymbol
Linear_regression
Networks with multiple kinds of relations
in the connections between their nodes to obtain edge weights that can be encoded into a matrix q α β {\displaystyle q_{\alpha \beta }} . The rank-2 adjacency
Multidimensional_network
Subspecies of snake
grass- or crop-dominated landscapes without there being a more complex spatial matrix that includes patches of woody vegetation. The species is subject to
Boa_constrictor_occidentalis
Real-world applications of data mining
medical data analysis. Spatial data mining is the application of data mining methods to spatial data. The end objective of spatial data mining is to find
Examples_of_data_mining
analysis: Sparse matrix Band matrix Bidiagonal matrix Tridiagonal matrix Pentadiagonal matrix Skyline matrix Circulant matrix Triangular matrix Diagonally dominant
List of numerical analysis topics
List_of_numerical_analysis_topics
Genetic disorder
intellectual disability is observed, particularly challenges with visual spatial tasks such as drawing. Verbal skills are relatively unaffected. Many people
Williams_syndrome
Physical quantities taking values at each point in space and time
anisotropic diffusion, which are framed as matrix-tensor PDEs, and then require matrices or tensor fields, hence matrix or tensor calculus. The scalars (and
Field_(physics)
Digital description of a typographical font
basic kinds of computer font file data formats: Bitmap fonts consist of a matrix of dots or pixels representing the image of each glyph in each face and
Computer_font
Statistical measure of how far values spread from their average
positive semi-definite square matrix, commonly referred to as the variance-covariance matrix (or simply as the covariance matrix). If X {\displaystyle X} is
Variance
Mathematical color model
and thus its very own matrix was derived for YCbCr (no YUV/Y′UV, since decommissioning of analog TV). BT.709 defines these weight values: W R = 0.2126
Y′UV
Concept in network science
C_{r}} , called communities; a symmetric r × r {\displaystyle r\times r} matrix P {\displaystyle P} of edge probabilities. The edge set is then sampled
Stochastic_block_model
Two closely related models for generating random graphs
percolation in which nodes and/or links are removed with heterogeneous weights as weighted percolation). As percolation theory has much of its roots in
Erdős–Rényi_model
Algorithm to smooth data points
coefficients are easily obtained because the normal equations matrix, JTJ, is a diagonal matrix as the product of any two orthogonal polynomials is zero by
Savitzky–Golay_filter
Filter in electronics and signal processing
best combination of suppression of high frequencies while also minimizing spatial spread, being the critical point of the uncertainty principle. These properties
Gaussian_filter
Antenna arrays with smart signal processing algorithms
invariance techniques (ESPRIT) algorithms, Matrix Pencil method or one of their derivatives. They involve finding a spatial spectrum of the antenna/sensor array
Smart_antenna
Network whose links change over time
when it is active, along with other possible characteristics such as a weight. Time-varying networks are of particular relevance to spreading processes
Temporal_network
Language-oriented programming paradigm
Define surface weights Alpha as "[0.5, 0.5]". Initialise matrix Phi as a 'unit matrix'. Define J as the 'inertia matrix' of Spc01. Compute matrix J2 as the
Natural_language_programming
Measure of linear correlation
of −+1⁄2 represents the matrix square root of the inverse of a matrix. The correlation matrix of T will be the identity matrix. If a new data observation
Pearson correlation coefficient
Pearson_correlation_coefficient
common choice is to take them as the geographical or physical distances in spatial networks or as the maximum cost over all links, e.g. l i j = 1 w max {\displaystyle
Efficiency_(network_science)
Popular IQ test for children
The VSI is a measure of visual spatial processing. The FRI is derived from the Matrix Reasoning and Figure Weights subtests. The Fluid Reasoning scale
Wechsler Intelligence Scale for Children
Wechsler_Intelligence_Scale_for_Children
Symmetry of spatially mirrored systems
the sign of one spatial coordinate. In three dimensions, it can also refer to the simultaneous flip in the sign of all three spatial coordinates (a point
Parity_(physics)
Statistical model validation technique
with spatial and spatiotemporal data, where spatial autocorrelation can lead to overly optimistic error estimates when random splits are used. Spatial blocking
Cross-validation_(statistics)
MRI procedure that measures brain activity by detecting associated changes in blood flow
every spatial point, weights neighboring voxels by their distance, with the weights falling exponentially following the bell curve. If the true spatial extent
Functional magnetic resonance imaging
Functional_magnetic_resonance_imaging
Clustering algorithm minimizing the sum of distances to k representatives
matrix is required for medoid-based clustering, which is generated using Jaccard Dissimilarity (which is 1 - the Jaccard Index). This distance matrix
K-medoids
SPATIAL WEIGHT-MATRIX
SPATIAL WEIGHT-MATRIX
Boy/Male
Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Punjabi, Sikh, Telugu
Protector
Surname or Lastname
English
English : topographic name for someone who lived at the top of a hill (see Hight).
Surname or Lastname
English
English : from Diot, a pet form of the female personal name Dye. Reaney also suggests that this may also be an altered form of Thwaite (see Thwaites).Timothy Dwight (1752–1817), Congregational divine, author, and president of Yale College (1795–1817), was the dominant figure in the established order of CT. He was born in Northampton, MA, a descendant of John Dwight who came from Dedham, England, in 1635 and settled in Dedham, MA, and the grandson of Jonathan Edwards, the great theologian of American Puritanism.
Male
English
English occupational surname transferred to forename use, derived from Old English wryhta/wyrhta, WRIGHT means "craftsman."
Female
English
English name derived from the vocabulary word, from Latin delectare, DELIGHT means "to allure, delight."Â
Surname or Lastname
English
English : variant spelling of Waite.
Girl/Female
Muslim
Royal
Surname or Lastname
English
English : variant spelling of Hight.
Boy/Male
English American Anglo Saxon
Craftsman.
Girl/Female
American, Australian
Form of Leigh or Leah
Boy/Male
Arabic
Arab River
Male
English
Variant spelling of English unisex Lee, LEIGH means "meadow."Â
Surname or Lastname
English
English : nickname from Middle English sleght, sleight, slyght ‘cunning’, ‘artfulness’.English : topographic name from Middle English sleyte ‘level field’ (Old Norse slétta) or from Middle English sleyte ‘sheep pasture’.
Boy/Male
Anglo, Australian, British, Christian, English
Craftsman; Carpenter
Surname or Lastname
English
English : variant of Wight.
Surname or Lastname
English, Scottish, and northern Irish
English, Scottish, and northern Irish : occupational name for a maker of machinery, mostly in wood, of any of a wide range of kinds, from Old English wyrhta, wryhta ‘craftsman’ (a derivative of wyrcan ‘to work or make’). The term is found in various combinations (for example, Cartwright and Wainwright), but when used in isolation it generally referred to a builder of windmills or watermills.Common New England Americanized form of French Le Droit, a nickname for an upright person, a man of probity, from Old French droit ‘right’, in which there has been confusion between the homophones right and wright.
Girl/Female
Indian, Telugu
Crystal; Pure
Girl/Female
Hindu
Crystal clear
Girl/Female
Arabic, Muslim
Royal
Male
English
English surname transferred to forename use, from the feminine personal name Diot, a pet form of Dionysia, DWIGHT means "follower of Dionysos."Â
SPATIAL WEIGHT-MATRIX
SPATIAL WEIGHT-MATRIX
Surname or Lastname
English
English : nickname from Old English corn, a metathesized form of cran ‘crane’ (see Crane).English : from Middle English corn ‘grain’, applied as a metonymic occupational name for a grain merchant or grower, or possibly a miller.English : metonymic occupational name for a maker or user of hand mills, Old English cweorn.Altered spelling of German Korn or a shortened form of any of the composite names formed with this element.
Girl/Female
Latin
Song.
Male
English
Anglicized form of Hebrew unisex Abiyah, ABIAH means "Yahweh is my father." In the bible, this is the name of a son of Samuel, the mother of Hezekiah, a member of the tribe of Benjamin, a king of Judah, and several other characters.Â
Boy/Male
Indian, Telugu
Maha Vishnu
Boy/Male
English Norse German
rule with mercy.
Boy/Male
Indian, Punjabi, Sikh
Protector of Traditions
Girl/Female
Indian
Desire, Want
Boy/Male
British, English
From the Flooding Brook
Boy/Male
Indian, Sanskrit
With Ten Banners
Boy/Male
Arabic
Servants; Slaves; Servant of Allah; Worshipper of Allah
SPATIAL WEIGHT-MATRIX
SPATIAL WEIGHT-MATRIX
SPATIAL WEIGHT-MATRIX
SPATIAL WEIGHT-MATRIX
SPATIAL WEIGHT-MATRIX
a.
See Spatial.
superl.
Having weight; heavy; ponderous; as, a weighty body.
n.
Weight.
pl.
of Spatha
a.
Resting; acting by mere weight without motion; as, statical pressure; static objects.
n.
The sum of eight times ten; eighty units or objects.
v. t.
A ponderous mass; something heavy; as, a clock weight; a paper weight.
v. t.
A scale, or graduated standard, of heaviness; a mode of estimating weight; as, avoirdupois weight; troy weight; apothecaries' weight.
v. t.
Importance; power; influence; efficacy; consequence; moment; impressiveness; as, a consideration of vast weight.
v. t.
Hence, pressure; burden; as, the weight of care or business.
v. t.
To follow like a spaniel.
v. i.
To have weight; to be heavy.
imp. & p. p.
of Weight
n.
A certain quantity estimated by weight; an English measure of weight. See Wey.
v. t.
To assign a weight to; to express by a number the probable accuracy of, as an observation. See Weight of observations, under Weight.
n.
One who weighs; specifically, an officer whose duty it is to weigh commodities.
n.
The quotient of a unit divided by eight; one of eight equal parts; an eighth part.
v. t.
A definite mass of iron, lead, brass, or other metal, to be used for ascertaining the weight of other bodies; as, an ounce weight.
a.
Furnished with a spathe; as, spathal flowers.
v. t.
To load with a weight or weights; to load down; to make heavy; to attach weights to; as, to weight a horse or a jockey at a race; to weight a whip handle.