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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Estimation and spatial di" (30 stories)

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Spatial observation-error correlations for AMSU-A in all-sky assimilation: An ECMWF and UK Met Office intercomparison
Lead StoryWiley & Sonsgeneral
Jun 4

Spatial observation-error correlations for AMSU-A in all-sky assimilation: An ECMWF and UK Met Office intercomparison

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE5hcWo0Tmp1V3VIa2JvaVgzVDBFTUktaUIwNWhjV3VSY1JOSl9fcGVjUnZBY2ppbk1sU21LMXdsdGRYcENubkpxYy14Vmx3cl9uYV9KZ0MtM1lCaFlSUTFpOXBWV21zNFhsd0E?oc=5" target="_blank">Spatial observation-error correlations for AMSU-A in all-sky assimilation: An ECMWF and UK Met Office intercomparison</a>  <font color="#6f6f6f">Wiley & Sons</font>

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Search Results for "Estimation and spatial di"

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29 stories displayed
HEViTPose: towards high-accuracy and efficient 2D human pose estimation with cascaded group spatial reduction attention
Naturegeneral

HEViTPose: towards high-accuracy and efficient 2D human pose estimation with cascaded group spatial reduction attention

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1YQ3lVbm5Fd1g3djBnU1lqNFNCRExHUG83cmpVQmx1N0s1RGV6M0dSaEpZNFlESXF5Nl9tdFBSVldIZTNQLUwzNzBSUm9nSjgzUXlNeUtGVUFHZjlYeFZV?oc=5" target="_blank">HEViTPose: towards high-accuracy and efficient 2D human pose estimation with cascaded group spatial reduction attention</a>  <font color="#6f6f6f">Nature</font>

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Sensory reliability takes priority over the central tendency effect in temporal and spatial estimation
Naturegeneral

Sensory reliability takes priority over the central tendency effect in temporal and spatial estimation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1hbGlyanRmc0ZIdHdWREY0Z25RMEQ4dWFIbl82bTRvS1FIeFJ2NmtKVl9RVThRYTQxUXItenFhRFBNSGluV1pOR2YzNXhWdkd5Zlh2Z2lYa2s3NGJQVGFB?oc=5" target="_blank">Sensory reliability takes priority over the central tendency effect in temporal and spatial estimation</a>  <font color="#6f6f6f">Nature</font>

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Spatially lagged predictors from a wider area improve PM2.5 estimation at a finer temporal interval—A case study of Dallas-Fort Worth, United States
Frontiersworld

Spatially lagged predictors from a wider area improve PM2.5 estimation at a finer temporal interval—A case study of Dallas-Fort Worth, United States

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxQTE13S1ljU1lLVkEtc1h0cjdhcTBNaEkyY2duSFhmUDlhM0dkWTdlY3RIeTU2S0J2dFVONkVSb09MQldmS2VLZnR3QkVHdEJLWVMyVF9lbHRsRldfRTVhQm1KLTVwNktnb0hlOVRBQWx0aW9FdFZzVHJFRWlZTWVCSDFJZWhDeGQwZG4xV2VuY0hadENQd1pF?oc=5" target="_blank">Spatially lagged predictors from a wider area improve PM2.5 estimation at a finer temporal interval—A case study of Dallas-Fort Worth, United States</a>  <font color="#6f6f6f">Frontiers</font>

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Estimating spatial disease rates using health statistics without geographic identifiers
medRxivscience

Estimating spatial disease rates using health statistics without geographic identifiers

<a href="https://news.google.com/rss/articles/CBMickFVX3lxTFBkYWJRYldSemJmdkp4bkkzRW8tMnJzSFFEa3pVS19UYUgxa2RhOVQwdFh3SkRHam0xZXJyOUF3dzhYckZSY3hnekV1ejVMTEEtX3FJQ1NfSHhLQXRENlhuVVg2Q01Tb1cxa0dIdXBxX2Rjdw?oc=5" target="_blank">Estimating spatial disease rates using health statistics without geographic identifiers</a>  <font color="#6f6f6f">medRxiv</font>

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CONSISTENT SPECIFICATION TESTING UNDER SPATIAL DEPENDENCE
Cambridge University Press & Assessmentworld

CONSISTENT SPECIFICATION TESTING UNDER SPATIAL DEPENDENCE

<a href="https://news.google.com/rss/articles/CBMi7gFBVV95cUxNdDhpcWpLODB2bVpoSi1DZ09TejZZY0dpS3B2UTBRZjJnZXp0a251TkQ4LVJNSXZWMHhiQzJEcmZCc0dXeDJ6enVHX0d3dTBuaXVkU1AzNmpOWU1BX093d3paT1VFY2p0a05QT1Q2YXltaEV0V3B4RXFzVzAzVXFneTZvaHVuTWdrdWFhSU5Edk9tMnZVa3NJUjFrZl9Pdy1SUnMzTzIxa3FkTVlwSHdQNDlwTE9kWEwxWk5HT095VFhCTFdXWmc4X2k4WWJJbFhkX080OXJ6c01Qb3NIVTI5a0lzWDVUUEdqYTVJVEln?oc=5" target="_blank">CONSISTENT SPECIFICATION TESTING UNDER SPATIAL DEPENDENCE</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression
Wiley Online Librarygeneral

Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTFBpMFp4dE0xTzJubHRUdXI5YlhqenBUREZJRDV1eVFOem1zc010YmpqbzVoWFNWZjR6cFBnUDNZTU5CVEFzZ25UM0tXNHlTdnBuMFhISEVFeGRpd2RzakVIWWl5Q0RkYXNn?oc=5" target="_blank">Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression</a>  <font color="#6f6f6f">Wiley Online Library</font>

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Estimating urban spatial structure based on remote sensing data
Naturegeneral

Estimating urban spatial structure based on remote sensing data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE96Z1c4ZGszQXFBa1VQSWtMaEVMR2VMWHRMUVhIbEZGcFpEU0Y5dFRyeW9IX0V3dVVVc2ZJNDlrckUzbnk0N3d2Z2czY1QzQkJWYV94ekt2NFcyS2FjZGVr?oc=5" target="_blank">Estimating urban spatial structure based on remote sensing data</a>  <font color="#6f6f6f">Nature</font>

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Bayesian estimation of orientation and direction tuning captures parameter uncertainty
Frontierstech

Bayesian estimation of orientation and direction tuning captures parameter uncertainty

<a href="https://news.google.com/rss/articles/CBMimAFBVV95cUxPeGdYaGk2MHA1d2dpcG9taEVuMUlvQ2U0VkRrR1BjYW43a1NlVXpEYjBDTmNrZEJLRXhldXl1X0tGZlhoemVobmhkUmpXTk51X3lScl92ZmNUQzktVS1hX0dlbWdkcmhaRjlpMllDWHFITldKa1ZRQlUtTXEtejV6Ni1TTzNYUTF3Ny1UUDh1Z1BiTXdHYW9LQw?oc=5" target="_blank">Bayesian estimation of orientation and direction tuning captures parameter uncertainty</a>  <font color="#6f6f6f">Frontiers</font>

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Estimation of Spatial Distribution and Fluid Fraction of a Potential Supercritical Geothermal Reservoir by Magnetotelluric Data: A Case Study From Yuzawa Geothermal Field, NE Japan
AGU Publicationsgeneral

Estimation of Spatial Distribution and Fluid Fraction of a Potential Supercritical Geothermal Reservoir by Magnetotelluric Data: A Case Study From Yuzawa Geothermal Field, NE Japan

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE0zSDVQYkdMQVIzc2w1WkphWGJ6Q3ktNEVibzA5ajB4YjNXcGtOVDRKMkhJRklUYUN0SDF0VkFsWDcwbS1MUl9xV0pnd2lNdllQSXBoNlZCOHBobGNhNnM3M2Q1bC1fNkFwRnJIM2hHSWJnVkFPSWlpYw?oc=5" target="_blank">Estimation of Spatial Distribution and Fluid Fraction of a Potential Supercritical Geothermal Reservoir by Magnetotelluric Data: A Case Study From Yuzawa Geothermal Field, NE Japan</a>  <font color="#6f6f6f">AGU Publications</font>

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Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross-sectional resampling
Wiley Online Librarygeneral

Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross-sectional resampling

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTE1lTGRPbEprVkRuTVBWMktqUHpBdHVSV1poS3NNSUdxaXVKbGVtQ0EtUmNTTk5kRTZ1dG5VNS00LTN6UGZJSk1LWUw3MjJCNk5PcTl2b1BkMjQ1MnV6QWlBV01xM3ZwVHd1?oc=5" target="_blank">Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross-sectional resampling</a>  <font color="#6f6f6f">Wiley Online Library</font>

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A new geographical model for spatial distribution and drivers of traditional villages in southern Zhejiang
Naturegeneral

A new geographical model for spatial distribution and drivers of traditional villages in southern Zhejiang

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9obmdqQXdMNnBGcmlBUlpzNS11azlvRHg1aFdnX2luZ0FhR2FucG90T0lqeHBRMFdkZWVJRkRjbERSaGVFcXVRRE15ZzYteVhMQ1NRTHZXNHBwYjV6Y1Ew?oc=5" target="_blank">A new geographical model for spatial distribution and drivers of traditional villages in southern Zhejiang</a>  <font color="#6f6f6f">Nature</font>

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Historical change and spatial relation of cultural memory in Guangzhou from the perspective of heritage representation
Naturegeneral

Historical change and spatial relation of cultural memory in Guangzhou from the perspective of heritage representation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1EMlplOVFVa2VocThyMEpkTUhXT3hPd0kzSmxkUkRyWG5lVkhMS3h6NnRiVTVHN1Q1VnBVeTRGR0dSdkJqb1o5SHNOa0x2U3h1dk1NdkN0MnFYazBlaFBV?oc=5" target="_blank">Historical change and spatial relation of cultural memory in Guangzhou from the perspective of heritage representation</a>  <font color="#6f6f6f">Nature</font>

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Separable spatio‐temporal kriging for fast virtual sensing
Wiley Online Librarygeneral

Separable spatio‐temporal kriging for fast virtual sensing

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE56eDdhRExZUmVLc0JxOUZ4MWNyTkVHMWNHa0RId3VabkdpZXpRWG51RVA4QUpiRjhBQ0h4T1NnT1BpUEw2dTFoWGV1QTNOYTRXLVZrXy15eWltamIxREhfUWFiMGRTVjlaTUE?oc=5" target="_blank">Separable spatio‐temporal kriging for fast virtual sensing</a>  <font color="#6f6f6f">Wiley Online Library</font>

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Assessing the impact of end-member selection on the accuracy of satellite-based spatial variability models for actual evapotranspiration estimation
AGU Publicationspolitics

Assessing the impact of end-member selection on the accuracy of satellite-based spatial variability models for actual evapotranspiration estimation

<a href="https://news.google.com/rss/articles/CBMidkFVX3lxTE5zZGtSdFowV2lRek81Z0JGQ0lhWDZha2dkNDFSbGVZanlwVHdTSi0wOFh5UGFDZlpUSnJpbzRnTWVuMnZUU2dwU2RHNlhid1hkQ2ZRRjZsSDFQLW1uZ3ZQS2Y1X1VwU0hqT3lKVjJoZmpTX3l4cWc?oc=5" target="_blank">Assessing the impact of end-member selection on the accuracy of satellite-based spatial variability models for actual evapotranspiration estimation</a>  <font color="#6f6f6f">AGU Publications</font>

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A quixotic view of spatial bias in modelling the distribution of species and their diversity
Naturegeneral

A quixotic view of spatial bias in modelling the distribution of species and their diversity

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9qd3RxVnlVeTQwcUpIak5fZkh0TkxsRnVzUUJ6UWtUVTZyMlpZa2FNUldueFAxNVF1YUZUS211QklaMzZNMU5HRXU5OVNTdXhKWGpVNjBjNTNMYXJQM0kw?oc=5" target="_blank">A quixotic view of spatial bias in modelling the distribution of species and their diversity</a>  <font color="#6f6f6f">Nature</font>

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A comparison of monitoring designs to assess wildlife community parameters across spatial scales
ESA Journalsworld

A comparison of monitoring designs to assess wildlife community parameters across spatial scales

<a href="https://news.google.com/rss/articles/CBMickFVX3lxTFBMWUNoenBHa2ZXQ2g4dEtKb3hRZHdzdFlMT1VHSDVYWTlQOFlsYnozd3VUSXU4c0pVNVp2ZjN6T1BNWWpSSjgtTzVEVGJnWWxWVUV5eTdsbzE2OFJVbFRBd0x0SXQzeDduTk1IQUV2UEs1QQ?oc=5" target="_blank">A comparison of monitoring designs to assess wildlife community parameters across spatial scales</a>  <font color="#6f6f6f">ESA Journals</font>

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Opportunity cost estimates for spatial conservation prioritisation across terrestrial Europe
Natureworld

Opportunity cost estimates for spatial conservation prioritisation across terrestrial Europe

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBqZm1nazN0Mm1YOFZmeXZUdUR1MjIyVDVUdFJZRmRkek1Zb3dSZmIzOXZZSGZvRk04ZFdkcFpyNHRNMHJNWC11UE9NTDJSV2llVDNTS19Tbm9uSzZKREZR?oc=5" target="_blank">Opportunity cost estimates for spatial conservation prioritisation across terrestrial Europe</a>  <font color="#6f6f6f">Nature</font>

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Estimating Daily Snow Density Through a Spatiotemporal Random Forest Model
AGU Publicationstech

Estimating Daily Snow Density Through a Spatiotemporal Random Forest Model

<a href="https://news.google.com/rss/articles/CBMie0FVX3lxTE4waVNzcklPNFhmU2lmWWtGaVozTXNiVGF4dy04U3JUTjE0T1haN0pBYVE2bHVpdXZoeW1naXBmT2RNb0IzbEY0WWw0LXQ5NHhHdWlpN1VyWFM3OFcxNG1Rem5CU2RZbm1FNlZzVzdXbjJaOGpjS1NKREdXOA?oc=5" target="_blank">Estimating Daily Snow Density Through a Spatiotemporal Random Forest Model</a>  <font color="#6f6f6f">AGU Publications</font>

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Quantifying Uncertainty in ML-Derived Atmosphere Remote Sensing: Hourly Surface NO
AGU Publicationstech

Quantifying Uncertainty in ML-Derived Atmosphere Remote Sensing: Hourly Surface NO

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE5sRG1NMlhFQUgyeUZGYXFJSEZZMnVobHJOVlViRlZmRFJKWUdDcWU0TUlpbFRjQzdqV21WSHk5dW4yUVZkWnFFdlR2X1RERU1vU09jVWhBY3Ezak9YRXRSRnFvU0hCYzUxZXNEc2Iwb2Nhc3BvalVmMQ?oc=5" target="_blank">Quantifying Uncertainty in ML-Derived Atmosphere Remote Sensing: Hourly Surface NO</a>  <font color="#6f6f6f">AGU Publications</font>

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Increased spatial and temporal autocorrelation of temperature under climate change | Scientific Reports
Naturescience

Increased spatial and temporal autocorrelation of temperature under climate change | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9NWXpDaDkzMGpnTDd1XzZMM2ZoOTBkTnN2a3F2NDdSbjU4S2N0M2tjazdMQmtUWlNoajg1OVpDcVZiWHZhMVhxS2JCYzZKMDhZXzk3RFRhNXpYQThJOEVz?oc=5" target="_blank">Increased spatial and temporal autocorrelation of temperature under climate change | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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A double fixed rank kriging approach to spatial regression models with covariate measurement error
Wiley Online Librarygeneral

A double fixed rank kriging approach to spatial regression models with covariate measurement error

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTE5UUWZnRk5VaF9mdVk2UEVZeEE2V2dYd0FzLUFtc3VyZDl0d2tPcTRmbmtzLVUteV9JTk5USUNiTVFobUlKS2d6NnFCcElYR0NlS2cwRUpIaVlNdHZGdnY3bzZQMXVKSkNW?oc=5" target="_blank">A double fixed rank kriging approach to spatial regression models with covariate measurement error</a>  <font color="#6f6f6f">Wiley Online Library</font>

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Spatial restrictions hinder avoidance of choke species in an Indigenous rights‐based fishery
besjournalsgeneral

Spatial restrictions hinder avoidance of choke species in an Indigenous rights‐based fishery

<a href="https://news.google.com/rss/articles/CBMie0FVX3lxTE0zNXJEa0tyQ3dIQ213QmRRRUpoMkdQUXN1LUdBZU1LdkhmdndkaG53emxIbGZvTDN2clFwek5jSkF1Y19Jd1p6a2xCZVBLcTJobkRPUnBvMHNsTVRTTXA3Qm1mLU5xdExfaVFPVDR5dlY2OU1DaGxRcnJvOA?oc=5" target="_blank">Spatial restrictions hinder avoidance of choke species in an Indigenous rights‐based fishery</a>  <font color="#6f6f6f">besjournals</font>

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Estimating distribution and abundance of wide‐ranging species with integrated spatial models: Opportunities revealed by the first wolf assessment in south‐central Italy - Gervasi - 2024 - Ecology and Evolution
Wiley Online Libraryworld

Estimating distribution and abundance of wide‐ranging species with integrated spatial models: Opportunities revealed by the first wolf assessment in south‐central Italy - Gervasi - 2024 - Ecology and Evolution

<a href="https://news.google.com/rss/articles/CBMia0FVX3lxTE5mNHN3bThvcVM5a2dObDh4dU93ZG9kLXNpVHUtNHA1MnRKT0RGSnlDT3d4anpQblZKR1ZJLWpvR1V3OW9XWUc5b3JPclhRZnJFSXUwdnNabGk1ZFY1ODdtTWR2WG9mdEhmNVhn?oc=5" target="_blank">Estimating distribution and abundance of wide‐ranging species with integrated spatial models: Opportunities revealed by the first wolf assessment in south‐central Italy - Gervasi - 2024 - Ecology and Evolution</a>  <font color="#6f6f6f">Wiley Online Library</font>

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Temporal, Spatial and Prey Niche Partitioning Reveals Coexistence Mechanism of Mesocarnivores in Guangdong Province, South China
Wiley Online Libraryworld

Temporal, Spatial and Prey Niche Partitioning Reveals Coexistence Mechanism of Mesocarnivores in Guangdong Province, South China

<a href="https://news.google.com/rss/articles/CBMia0FVX3lxTE9kNmJROWFNUUdxSkFWTndUOTFyb3ZDa0RnZVRhQnlra2FBUlhSTndySFJMY3dhaWU5U2dseDhYeW84U1Yyb3hNbEdtRkZMZ1NubDY1QXNXTF9odFBkLUdERXVTUTNqZEJCMEFr?oc=5" target="_blank">Temporal, Spatial and Prey Niche Partitioning Reveals Coexistence Mechanism of Mesocarnivores in Guangdong Province, South China</a>  <font color="#6f6f6f">Wiley Online Library</font>

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Validation and refinement of cropland data layer using a spatial-temporal decision tree algorithm
Naturegeneral

Validation and refinement of cropland data layer using a spatial-temporal decision tree algorithm

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBDSHBYQVRKeElteWRtclZYSjZOWU1WSHBJRFkyRVNNTFVtTkoxcEE2dGwySV9jTk5wRlRwQXJ5ZklreGFvdWpNZmhZTGlJS1VfNVZ3dk9fZlNIWkNVa2JZ?oc=5" target="_blank">Validation and refinement of cropland data layer using a spatial-temporal decision tree algorithm</a>  <font color="#6f6f6f">Nature</font>

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Estimating the effects of vegetation and increased albedo on the urban heat island effect with spatial causal inference
Naturegeneral

Estimating the effects of vegetation and increased albedo on the urban heat island effect with spatial causal inference

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9LT2pxdWRjNkl0S1hDeXFIV09vR2lRZlRkWHBXdWthN3QtNkZvcVdiMGtyRGRWS3FWSHRsZjhLQXRkdEtBN05OakxGNTZ2NVZPMm9zTWxQNHpZeTkxbXNV?oc=5" target="_blank">Estimating the effects of vegetation and increased albedo on the urban heat island effect with spatial causal inference</a>  <font color="#6f6f6f">Nature</font>

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Modeling spatially and temporally complex range dynamics when detection is imperfect
Naturegeneral

Modeling spatially and temporally complex range dynamics when detection is imperfect

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9vbUpVYVlQRklHYXJ6enJCVkI3eEFSVEFCQTF3bWZKUGFTZHVaMXNlTTlpUVAzWGo2aXMzWDdtMFZ2Y1lsQjVISnRORGdlNDI3ZHNMem42SmtQdmtJbGU4?oc=5" target="_blank">Modeling spatially and temporally complex range dynamics when detection is imperfect</a>  <font color="#6f6f6f">Nature</font>

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Insights into spinetail devil ray spatial ecology in the Mediterranean Sea through satellite telemetry
Naturetech

Insights into spinetail devil ray spatial ecology in the Mediterranean Sea through satellite telemetry

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBKV3JqZGJ5UHBqUkNPRHlOZXBqOG5rdV96WkR4U2FTa2xOVG9CQzg0R1ZUWTlyRlNFOU85SUFySWRKeW9XMXQ3U2pWME4xaGZHdHZPeVJ2WUpTbWZlbDhV?oc=5" target="_blank">Insights into spinetail devil ray spatial ecology in the Mediterranean Sea through satellite telemetry</a>  <font color="#6f6f6f">Nature</font>

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Combining Ground‐Penetrating Radar With Terrestrial LiDAR Scanning to Estimate the Spatial Distribution of Liquid Water Content in Seasonal Snowpacks - Webb - 2018 - Water Resources Research
AGU Publicationsworld

Combining Ground‐Penetrating Radar With Terrestrial LiDAR Scanning to Estimate the Spatial Distribution of Liquid Water Content in Seasonal Snowpacks - Webb - 2018 - Water Resources Research

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE9jUm92Y2hMcUVNSXhPdjJRTjlCQWdMa3FyZWVoa0RkdG80Ri1zZzNhWi1aNzQ2a3RaSnRvTk5Hbk1BV21rQWRGeFo3Z0V3bzBRZ3VZOFBBRTlYM0pPQ1kxRENnZC1QYk95QkFPbVJxX3JieElNRUFTbw?oc=5" target="_blank">Combining Ground‐Penetrating Radar With Terrestrial LiDAR Scanning to Estimate the Spatial Distribution of Liquid Water Content in Seasonal Snowpacks - Webb - 2018 - Water Resources Research</a>  <font color="#6f6f6f">AGU Publications</font>

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