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Wednesday, July 29, 2020 | History

2 edition of Spatial fertility analysis in a limited data situation found in the catalog.

Spatial fertility analysis in a limited data situation

Gary Fuller

Spatial fertility analysis in a limited data situation

the case of Pakistan

by Gary Fuller

  • 159 Want to read
  • 3 Currently reading

Published by East-West Center in Honolulu .
Written in English

    Places:
  • Pakistan,
  • Pakistan.
    • Subjects:
    • Fertility, Human -- Pakistan.,
    • Pakistan -- Statistics, Vital.

    • Edition Notes

      Bibliography: p. 19-20.

      StatementGary Fuller and Mohammad M. Khan.
      SeriesPapers of the East-West Population Institute ; no. 56, Papers of the East-West Population Institute ;, no. 56.
      ContributionsKhan, Mohammad M., 1946- joint author.
      Classifications
      LC ClassificationsHB1050.5.A3 F84
      The Physical Object
      Paginationvii, 20 p. :
      Number of Pages20
      ID Numbers
      Open LibraryOL4735205M
      LC Control Number78024519

        Macro-level analysis such as cluster analysis, spatial modelling of aggregate data, multilevel models of spatial structures using GIS. Micro-level analysis such as spatial analysis of life trajectories (marriage, fertility, mortality and migration), interactions between life courses and mobility, environment and social mobility. economic, demographic, and geographic determinants of fertility and the sex ratio were examined in a multivariate framework using district-level data from the census. Findings conclude that region matters when explaining the spatial variation in fertility and the sex ratio but that no correlation exists between them. Female literacy had the.

      Research relies on a wide range of statistical analysis methods to process survey data and to describe and model demographic events and phenomena on the basis of that data. Alongside classic methods such as data analysis and logistic regression, several other methods have come to Author: Denise Pumain. The Econometric Analysis of Non-Stationary Spatial Panel Data Michael Beenstock, Daniel Felsenstein This monograph deals with spatially dependent nonstationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis.

        The study identified the hotspots and coldspots of poverty as well as the determinants of poverty of each identified group. Data were obtained from National Living Standard Survey and Core Welfare Indicators Questionnaire Survey conducted by National Bureau of Statistics. Spatial econometrics technique was used to analyze data. The result of the analysis identified the hotspots Cited by: 2. Fertility trends by social status Vegard Skirbekk 1 Abstract This article discusses how fertility relates to social status with the use of a new dataset, several times larger than the ones used so far. The status-fertility relation is investigated over several centuries, across Cited by:


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Spatial fertility analysis in a limited data situation by Gary Fuller Download PDF EPUB FB2

Get this from a library. Spatial fertility analysis in a limited data situation: the case of Pakistan. [Gary Fuller; Mohammad M Khan].

Lifetime and current fertility data from more than one census are available, and the analyst is seeking to estimate fertility for the intercensal period – the synthetic relational Gompertz model Only data on lifetime fertility are available – from two censuses or surveys conducted either five or 10 years apart –.

rate fertilizer applicator has been limited. Therefore, according to the actual situation of the current grid fertilization and uniform fertilization, this study attempts to use GIS spatial analysis techniques and weighted spatial fuzzy clustering and decision tree method, which use fuzzy clustering analysis the soil fertility of agriculturalAuthor: Chunan Li, Guifen Chen, Guangwei Zeng, Jiao Ye.

This article contributes to the geographic analysis of fertility decline in the demographic transition in Europe. We reanalyze Galloway, Hammel, and Lee's () Prussian data with spatial. Spatial analysis or spatial statistics includes any of the formal techniques which studies entities using their topological, geometric, or geographic properties.

Spatial analysis includes a variety of techniques, many still in their early development, using different analytic approaches and applied in fields as diverse as astronomy, with its studies of the placement of galaxies in the cosmos.

Fertility and Crime: Evidence from Spatial Analysis of Taiwan Taiwan faces a serious situation, having one of the lowest fertility rates methods used to analyze spatial data samples that. Abstract. Studying on the spatial distribution and variation characteristics of soil fertility by Application of geographical information systems (GIS) and data mining(DM), with the quantitative analysis of spatial variability of soil fertility in complexity, and provide the effective way for simulations which can be closer to the farmland soil fertility : Chunan Li, Guifen Chen, Guangwei Zeng, Jiao Ye.

Local health status and health care use may be negatively influenced by low local socio-economic profile, population decline and population ageing. To support the need for targeted local health care, we explored spatial patterns of type 2 diabetes mellitus (T2DM) drug use at local level and determined its association with local demographic, socio-economic and access to care by: Spatial analysis of soil fertility management using integrated household and GIS data from smallholder Kenyan farms S.

Staal*a, D. Romney, a, I. Baltenweck a, M. Waithakac,a, H. Muriuki b, L. Njoroge a a International Livestock Research Institute, PO BoxNairobi, Kenya. bMinistry of Agriculture and Rural Development, PO BoxNairobi, Kenya. Databases identifying spatial distributions of soil properties are needed to implement site-specific management practices.

This study examined spatial patterns for nine soil chemical properties in two adjacent fields, one in a corn (Zea mays L.)-soybean [Glycine max (L.) Merr.] rotation with inorganic fertilizer and the other in a 5-yr corn-soybean-corn-oat (Avena sativa L.)-meadow rotation Cited by: The analysis of non-marital fertility is, however, complicated by the fact that,particularly as societies modernise, rising non-marital fertility may reflect not only limited options, but also the expansion of positive freedoms (Berlin, ).

Spatial patterns in fertility levels, as revealed by the analysis of state-level figures, is, however, not adequate. Because of India’s cultural, economic and geographical diversity, the magnitude of regional variations in fertility levels is often as substantial within states.

to the non-use of contraceptives at first-time sexual intercourse by studying the data provided by the Fertility and Family Survey. More precisely, with a spatial statistical model featuring a Bayesian approach, we produce maps at the provincial level.

The paper is structured as follows: Section 2 provides an introduction of the data by: Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit to get more information about this book, to buy it in print, or to download it as a free PDF.

Entwisle Barbara, Rindfuss Ronald R, Walsh SJ, Evans TP, Curran SR. Geographic Information Systems, Spatial Network Analysis, and Contraceptive Choice. Demography. ; 34 (2)– Freedman Deborah, Thornton Arland, Camburn Donald, Alwin Duane, Young-DeMarco Linday.

The Life History Calendar: A Technique for Collecting Retrospecitve by: 9. of data: a digitized and geocoded map of roads and the loca-tion of villages and outlets, organized and analyzed within a GIS.

Applying spatial network analysis to our data on vil-lages, roads, and source locations allows us to develop a range of travel time estimates and to address a variety of questions about the impact of source proximity.

Province level fertility and socioeconomic development indicators from the and Kenya Demographic and Health Surveys (KDHS) document the spatial pattern of Kenya’s recent fertility decline.

Although the data suggest that substantial regional variations in fertility reduction exist, fertility reduction has been pervasive throughout the – by: 3.

Evaluation and Analysis of Fertility Data CBR is a useful measure to approximate numbers of births when limited information available. Evaluation of fertility data 1. Data collection File Size: 1MB. Rationale and objective of Population and Development Situation Analysis (PSA) Rationale Population is a vital component of sustainable and equitable people-centered development.

The interplay of fertility, mortality and migration affect not only demographic, economic and social development but also socio-cultural cohesion. Detailed international and regional statistics on more than indicators for Economics, Energy, Demographics, Commodities and other topics.

Tables, charts, maps free to. Rationale and justification for the study. Inan analysis of data on women from 52 Demographic Health Survey data (DHS) from 52 different countries, showed that % of the recent two births in developing countries were birth intervals of less than 24 months, with children born in those intervals times more likely to die before their fifth birthday compared to children born Cited by: 6.fertility.

Fertility varies by residence, educational background, and other background characteristics of a woman. Table and Figure show fertility differentials by urban-rural residence, region, education, wealth index quintile and by the ten oversampled districts.

The analysis of the fertilityFile Size: KB. Critical Issues in Spatial Analysis• Spatial autocorrelation – Data from locations near to each other are usually more similar than data from locations far away from each other• Scale effects and measurement pitfalls – Cities may be represented as points or polygons – Results depend on the scale at which the analysis is conducted.