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Spatial Analysis

Clinical Research · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

Investigative techniques which measure the topological, geometric, and or geographic properties of the entities studied.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (923 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Investigative techniques which measure the topological, geometric, and or geographic properties of the entities studied.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Analyses, Spatial; Analysis, Spatial; Spatial Analyses; Spacial Analysis; Analyses, Spacial; Analysis, Spacial; Spacial Analyses; Spatial Autocorrelation.

Where it fits in the MeSH classification

Broader topics
Statistics as Topic
Narrower topics
Geographic Mapping; Spatial Regression; Spatio-Temporal Analysis
See also
Geographic Information Systems

Research landscape

PubMed indexes 19,703 records tagged with the MeSH heading “Spatial Analysis” (counts retrieved 2026-10-29). 8,729 of them (44.3%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 9,841 records.

Reviews account for 645 records (3.3%) and meta-analyses for 69. Randomized controlled trials number 33 (0.2%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 792 records; 2000-2009: 341 records; 2010-2019: 9,841 records; 2020 onward: 8,729 records792through 19993412000-20099,8412010-20198,7292020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 1999792
2000-2009341
2010-20199,841
2020 onward8,729
Share of records by publication typeReviews: 3.3 percent; Meta-analyses: 0.4 percent; Randomized controlled trials: 0.2 percentReviews3.3% (645)Meta-analyses0.4% (69)Randomized controlled trials0.2% (33)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 19,703 PubMed records
TypeRecordsShare
Reviews6453.3%
Meta-analyses690.4%
Randomized controlled trials330.2%

Method: PubMed query "Spatial Analysis"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in clinical research

Research methods determine how much a result can be trusted. Randomized trials guard against confounding, systematic reviews and meta-analyses combine many studies, and observational designs are valuable but can show only association. Reporting standards, trial registration and pre-specified outcomes reduce bias. When reading about a method, ask what problem it is designed to solve and which problems it does not solve.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Mapping cells through time and space with moscot
Klein D, Palla G, Lange M, Klein M, Piran Z, Gander M, et al.
2025Research article
Design not recorded in structured metadata
175cc by
PMID 39843746 · DOI · PMC11864987
Airborne DNA reveals predictable spatial and seasonal dynamics of fungi
Abrego N, Furneaux B, Hardwick B, Somervuo P, Palorinne I, Aguilar-Trigueros CA, et al.
2024Research article
Design not recorded in structured metadata
57cc by
PMID 38987593 · DOI · PMC11269176
Revising the global biogeography of annual and perennial plants
Poppenwimer T, Mayrose I, DeMalach N
2023Research article
Design not recorded in structured metadata
41cc by
PMID 37938778 · DOI · PMC10830411
Spatiotemporal cellular map of the developing human reproductive tract
Lorenzi V, Icoresi-Mazzeo C, Cassie C, Yayon N, Ruiz-Morales ER, Sancho-Serra C, et al.
2026Research article
Design not recorded in structured metadata
9cc by
PMID 41407855 · DOI · PMC12893920

Mapping cells through time and space with moscot [1]

Research article Klein D, Palla G, Lange M, Klein M, Piran Z, Gander M, et al. · · 2025 · cited 175 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Single-cell genomic technologies enable the multimodal profiling of millions of cells across temporal and spatial dimensions.
Closing excerpt
Moscot is available as open-source software, accompanied by extensive documentation.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (242 words)

Single-cell genomic technologies enable the multimodal profiling of millions of cells across temporal and spatial dimensions. However, experimental limitations hinder the comprehensive measurement of cells under native temporal dynamics and in their native spatial tissue niche. Optimal transport has emerged as a powerful tool to address these constraints and has facilitated the recovery of the original cellular context1-4. Yet, most optimal transport applications are unable to incorporate multimodal information or scale to single-cell atlases. Here we introduce multi-omics single-cell optimal transport (moscot), a scalable framework for optimal transport in single-cell genomics that supports multimodality across all applications. We demonstrate the capability of moscot to efficiently reconstruct developmental trajectories of 1.7 million cells from mouse embryos across 20 time points. To illustrate the capability of moscot in space, we enrich spatial transcriptomic datasets by mapping multimodal information from single-cell profiles in a mouse liver sample and align multiple coronal sections of the mouse brain. We present moscot.spatiotemporal, an approach that leverages gene-expression data across both spatial and temporal dimensions to uncover the spatiotemporal dynamics of mouse embryogenesis. We also resolve endocrine-lineage relationships of delta and epsilon cells in a previously unpublished mouse, time-resolved pancreas development dataset using paired measurements of gene expression and chromatin accessibility. Our findings are confirmed through experimental validation of NEUROD2 as a regulator of epsilon progenitor cells in a model of human induced pluripotent stem cell islet cell differentiation. Moscot is available as open-source software, accompanied by extensive documentation.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39843746 · DOI · PMC11864987

Airborne DNA reveals predictable spatial and seasonal dynamics of fungi [2]

Research article Abrego N, Furneaux B, Hardwick B, Somervuo P, Palorinne I, Aguilar-Trigueros CA, et al. · · 2024 · cited 57 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Fungi are among the most diverse and ecologically important kingdoms in life.
Closing excerpt
Our study reports patterns resembling those described for other major groups of organisms, thus making a major contribution to the long-standing debate on whether organisms with a microbial lifestyle follow the global biodiversity paradigms known for macroorganisms4,5.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (228 words)

Fungi are among the most diverse and ecologically important kingdoms in life. However, the distributional ranges of fungi remain largely unknown as do the ecological mechanisms that shape their distributions1,2. To provide an integrated view of the spatial and seasonal dynamics of fungi, we implemented a globally distributed standardized aerial sampling of fungal spores3. The vast majority of operational taxonomic units were detected within only one climatic zone, and the spatiotemporal patterns of species richness and community composition were mostly explained by annual mean air temperature. Tropical regions hosted the highest fungal diversity except for lichenized, ericoid mycorrhizal and ectomycorrhizal fungi, which reached their peak diversity in temperate regions. The sensitivity in climatic responses was associated with phylogenetic relatedness, suggesting that large-scale distributions of some fungal groups are partially constrained by their ancestral niche. There was a strong phylogenetic signal in seasonal sensitivity, suggesting that some groups of fungi have retained their ancestral trait of sporulating for only a short period. Overall, our results show that the hyperdiverse kingdom of fungi follows globally highly predictable spatial and temporal dynamics, with seasonality in both species richness and community composition increasing with latitude. Our study reports patterns resembling those described for other major groups of organisms, thus making a major contribution to the long-standing debate on whether organisms with a microbial lifestyle follow the global biodiversity paradigms known for macroorganisms4,5.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38987593 · DOI · PMC11269176

Revising the global biogeography of annual and perennial plants [3]

Research article Poppenwimer T, Mayrose I, DeMalach N · · 2023 · cited 41 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
There are two main life cycles in plants-annual and perennial1,2.
Closing excerpt
Overall, our analyses raise concerns for ecosystem services provided by perennial plants, as ongoing changes are leading to a higher proportion of annual plants globally.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (211 words)

There are two main life cycles in plants-annual and perennial1,2. These life cycles are associated with different traits that determine ecosystem function3,4. Although life cycles are textbook examples of plant adaptation to different environments, we lack comprehensive knowledge regarding their global distributional patterns. Here we assembled an extensive database of plant life cycle assignments of 235,000 plant species coupled with millions of georeferenced datapoints to map the worldwide biogeography of these plant species. We found that annual plants are half as common as initially thought5-8, accounting for only 6% of plant species. Our analyses indicate that annuals are favoured in hot and dry regions. However, a more accurate model shows that the prevalence of annual species is driven by temperature and precipitation in the driest quarter (rather than yearly means), explaining, for example, why some Mediterranean systems have more annuals than desert systems. Furthermore, this pattern remains consistent among different families, indicating convergent evolution. Finally, we demonstrate that increasing climate variability and anthropogenic disturbance increase annual favourability. Considering future climate change, we predict an increase in annual prevalence for 69% of the world's ecoregions by 2060. Overall, our analyses raise concerns for ecosystem services provided by perennial plants, as ongoing changes are leading to a higher proportion of annual plants globally.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 37938778 · DOI · PMC10830411

Spatiotemporal cellular map of the developing human reproductive tract [4]

Research article Lorenzi V, Icoresi-Mazzeo C, Cassie C, Yayon N, Ruiz-Morales ER, Sancho-Serra C, et al. · · 2026 · cited 9 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The human reproductive tract is essential for species perpetuation and overall health.
Closing excerpt
By mapping sex-specific reproductive tract regionalization and differentiation at the cellular level, our study provides valuable insights into causes and potential treatments of developmental reproductive disorders.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (242 words)

The human reproductive tract is essential for species perpetuation and overall health. Its development involves complex processes of sex specification, tissue patterning and morphogenesis, the disruption of which can cause lifelong issues, including infertility1-5. Here we present an extensive single-cell and spatial multi-omic atlas of the human reproductive tract during prenatal development to provide insights beyond those that are possible with smaller-scale, organ-focused studies. We describe potential regulators of sexual dimorphism in reproductive organs and pinpoint previously unknown genes involved in Müllerian duct emergence and regression and urethral canalization of the penis. By combining histological features with gene expression and chromatin accessibility data, we define transcription factors and signalling events potentially involved in the regionalization of the Müllerian and Wolffian ducts. We also refine how the HOX code is established in distinct reproductive organs and reveal that the expression of thoracic HOX genes is increased in the rostral mesenchyme of the fallopian tube and epididymis. Our findings further indicate that epithelial regionalization of the fallopian tube and epididymis, which probably contribute to sperm maturation and capacitation, is established during development. By contrast, later events are necessary for regionalization of the uterocervical canal epithelium. Finally, on the basis of single-cell data and fetal-derived organoids, we show that the fetal uterine epithelium is vulnerable to oestrogen-mimicking endocrine disruptors. By mapping sex-specific reproductive tract regionalization and differentiation at the cellular level, our study provides valuable insights into causes and potential treatments of developmental reproductive disorders.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41407855 · DOI · PMC12893920

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Spatially resolved transcriptomics and beyond [5]
    Crosetto N, Bienko M, van Oudenaarden A · Nat Rev Genet · 2015 · cited 411 times (Europe PMC)
  • Research article Area-based conservation in the twenty-first century [6]
    Maxwell SL, Cazalis V, Dudley N, Hoffmann M, Rodrigues ASL, Stolton S, et al. · Nature · 2020 · cited 312 times (Europe PMC)
  • Research article Mapping 'partially resistant', 'fully resistant', and 'super resistant' malaria [7]
    Naidoo I, Roper C · Trends Parasitol · 2013 · cited 215 times (Europe PMC)
  • Research article Spatial and spatio-temporal models with R-INLA [8]
    Blangiardo M, Cameletti M, Baio G, Rue H · Spat Spatiotemporal Epidemiol · 2013 · cited 204 times (Europe PMC)
  • Research article Advances in spatial epidemiology and geographic information systems [9]
    Kirby RS, Delmelle E, Eberth JM · Ann Epidemiol · 2017 · cited 179 times (Europe PMC)
  • Research article Maternal and perinatal outcomes by planned place of birth among women with low-risk pregnancies in high-income countries: A systematic review and meta-analysis [10]
    Scarf VL, Rossiter C, Vedam S, Dahlen HG, Ellwood D, Forster D, et al. · Midwifery · 2018 · cited 167 times (Europe PMC)

References

  1. Klein D, Palla G, Lange M, Klein M, Piran Z, Gander M, et al.. Mapping cells through time and space with moscot. . 2025. PMID 39843746 · DOI · PMC11864987
  2. Abrego N, Furneaux B, Hardwick B, Somervuo P, Palorinne I, Aguilar-Trigueros CA, et al.. Airborne DNA reveals predictable spatial and seasonal dynamics of fungi. . 2024. PMID 38987593 · DOI · PMC11269176
  3. Poppenwimer T, Mayrose I, DeMalach N. Revising the global biogeography of annual and perennial plants. . 2023. PMID 37938778 · DOI · PMC10830411
  4. Lorenzi V, Icoresi-Mazzeo C, Cassie C, Yayon N, Ruiz-Morales ER, Sancho-Serra C, et al.. Spatiotemporal cellular map of the developing human reproductive tract. . 2026. PMID 41407855 · DOI · PMC12893920
  5. Crosetto N, Bienko M, van Oudenaarden A. Spatially resolved transcriptomics and beyond. Nat Rev Genet. 2015. PMID 25446315 · DOI
  6. Maxwell SL, Cazalis V, Dudley N, Hoffmann M, Rodrigues ASL, Stolton S, et al.. Area-based conservation in the twenty-first century. Nature. 2020. PMID 33028996 · DOI
  7. Naidoo I, Roper C. Mapping 'partially resistant', 'fully resistant', and 'super resistant' malaria. Trends Parasitol. 2013. PMID 24028889 · DOI
  8. Blangiardo M, Cameletti M, Baio G, Rue H. Spatial and spatio-temporal models with R-INLA. Spat Spatiotemporal Epidemiol. 2013. PMID 23481252 · DOI
  9. Kirby RS, Delmelle E, Eberth JM. Advances in spatial epidemiology and geographic information systems. Ann Epidemiol. 2017. PMID 28081893 · DOI
  10. Scarf VL, Rossiter C, Vedam S, Dahlen HG, Ellwood D, Forster D, et al.. Maternal and perinatal outcomes by planned place of birth among women with low-risk pregnancies in high-income countries: A systematic review and meta-analysis. Midwifery. 2018. PMID 29727829 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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All 98 articles in Clinical Research →

At a glance

19,703
PubMed records on this heading
44%
published since 2020
645
review articles
33
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Discriminant AnalysisClinical Research
  • Multivariate AnalysisClinical Research
  • Survival AnalysisClinical Research
  • Cluster AnalysisClinical Research
  • ROC CurveClinical Research

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