scholarly journals Active Collection of Land Cover Sample Data from Geo-Tagged Web Texts

2021 ◽  
Author(s):  
Dongyang Hou ◽  
Jun Chen ◽  
Hao Wu ◽  
Songnian Li ◽  
Feifei Chen ◽  
...  
Keyword(s):  
Data Collection ◽  
Land Cover ◽  
Central Government ◽  
Image Interpretation ◽  
Web Crawler ◽  
Ancillary Data ◽  
Textual Data ◽  
Sample Data ◽  
Artificial Surface ◽  
Map Validation

Sample data plays an important role in land cover (LC) map validation. Traditionally, they are collected through field survey or image interpretation, either of which is costly, labor-intensive and time-consuming. In recent years, massive geo-tagged texts are emerging on the web and they contain valuable information for LC map validation. However, this kind of special textual data has seldom been analyzed and used for supporting LC map validation. This paper examines the potential of geo-tagged web texts as a new cost-free sample data source to assist LC map validation and proposes an active data collection approach. The proposed approach uses a customized deep web crawler to search for geo-tagged web texts based on land cover-related keywords and string-based rules matching. A data transformation based on buffer analysis is then performed to convert the collected web texts into LC sample data. Using three provinces and three municipalities directly under the Central Government in China as study areas, geo-tagged web texts were collected to validate artificial surface class of China’s 30-meter global land cover datasets (GlobeLand30-2010). A total of 6283 geo-tagged web texts were collected at a speed of 0.58 texts per second. The collected texts about built-up areas were transformed into sample data. User’s accuracy of 82.2% was achieved, which is close to that derived from formal expert validation. The preliminary results show that geo-tagged web texts are valuable ancillary data for LC map validation and the proposed approach can improve the efficiency of sample data collection.

scholarly journals Active Collection of Land Cover Sample Data from Geo-Tagged Web Texts

2021 ◽  
Author(s):  
Dongyang Hou ◽  
Jun Chen ◽  
Hao Wu ◽  
Songnian Li ◽  
Feifei Chen ◽  
...  
Keyword(s):  
Data Collection ◽  
Land Cover ◽  
Central Government ◽  
Image Interpretation ◽  
Web Crawler ◽  
Ancillary Data ◽  
Textual Data ◽  
Sample Data ◽  
Artificial Surface ◽  
Map Validation

Sample data plays an important role in land cover (LC) map validation. Traditionally, they are collected through field survey or image interpretation, either of which is costly, labor-intensive and time-consuming. In recent years, massive geo-tagged texts are emerging on the web and they contain valuable information for LC map validation. However, this kind of special textual data has seldom been analyzed and used for supporting LC map validation. This paper examines the potential of geo-tagged web texts as a new cost-free sample data source to assist LC map validation and proposes an active data collection approach. The proposed approach uses a customized deep web crawler to search for geo-tagged web texts based on land cover-related keywords and string-based rules matching. A data transformation based on buffer analysis is then performed to convert the collected web texts into LC sample data. Using three provinces and three municipalities directly under the Central Government in China as study areas, geo-tagged web texts were collected to validate artificial surface class of China’s 30-meter global land cover datasets (GlobeLand30-2010). A total of 6283 geo-tagged web texts were collected at a speed of 0.58 texts per second. The collected texts about built-up areas were transformed into sample data. User’s accuracy of 82.2% was achieved, which is close to that derived from formal expert validation. The preliminary results show that geo-tagged web texts are valuable ancillary data for LC map validation and the proposed approach can improve the efficiency of sample data collection.

scholarly journals A multi-purpose National Forest Inventory in Bangladesh: design, operationalisation and key results

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Matieu Henry ◽  
Zaheer Iqbal ◽  
Kristofer Johnson ◽  
Mariam Akhter ◽  
Liam Costello ◽  
...  
Keyword(s):  
Climate Change ◽  
Forest Management ◽  
Data Collection ◽  
Land Cover ◽  
Forest Inventory ◽  
Sustainable Forest Management ◽  
National Forest Inventory ◽  
Forest Resources ◽  
National Forest ◽  
Land Cover Map

Abstract Background National forest inventory and forest monitoring systems are more important than ever considering continued global degradation of trees and forests. These systems are especially important in a country like Bangladesh, which is characterised by a large population density, climate change vulnerability and dependence on natural resources. With the aim of supporting the Government’s actions towards sustainable forest management through reliable information, the Bangladesh Forest Inventory (BFI) was designed and implemented through three components: biophysical inventory, socio-economic survey and remote sensing-based land cover mapping. This article documents the approach undertaken by the Forest Department under the Ministry of Environment, Forests and Climate Change to establish the BFI as a multipurpose, efficient, accurate and replicable national forest assessment. The design, operationalization and some key results of the process are presented. Methods The BFI takes advantage of the latest and most well-accepted technological and methodological approaches. Importantly, it was designed through a collaborative process which drew from the experience and knowledge of multiple national and international entities. Overall, 1781 field plots were visited, 6400 households were surveyed, and a national land cover map for the year 2015 was produced. Innovative technological enhancements include a semi-automated segmentation approach for developing the wall-to-wall land cover map, an object-based national land characterisation system, consistent estimates between sample-based and mapped land cover areas, use of mobile apps for tree species identification and data collection, and use of differential global positioning system for referencing plot centres. Results Seven criteria, and multiple associated indicators, were developed for monitoring progress towards sustainable forest management goals, informing management decisions, and national and international reporting needs. A wide range of biophysical and socioeconomic data were collected, and in some cases integrated, for estimating the indicators. Conclusions The BFI is a new information source tool for helping guide Bangladesh towards a sustainable future. Reliable information on the status of tree and forest resources, as well as land use, empowers evidence-based decision making across multiple stakeholders and at different levels for protecting natural resources. The integrated socio-economic data collected provides information about the interactions between people and their tree and forest resources, and the valuation of ecosystem services. The BFI is designed to be a permanent assessment of these resources, and future data collection will enable monitoring of trends against the current baseline. However, additional institutional support as well as continuation of collaboration among national partners is crucial for sustaining the BFI process in future.

PENGARUH PERSONAL SELLING TERHADAP PENCAPAIAN TARGET PENJUALAN (STUDI KASUS PT. SETIAWAN SEDJATI)

2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Ranty Octavianita ◽  
Eki Dudi Darmawan
Keyword(s):  
Data Collection ◽  
Correlation Coefficient ◽  
Research Method ◽  
Quantitative Methods ◽  
Personal Selling ◽  
Strong Relationship ◽  
Regression Equation ◽  
T Test ◽  
Coefficient Of Determination ◽  
Sample Data

The existence of instability in the value of sales is an important evaluation that must be carried out by management. The purpose of this study is to determine the effect of Personal Selling on Sales Targets at PT. Setiawan Sedjati. The location of data collection is done at PT. Setiawan Sedjati Bandung. The research method uses quantitative methods. This research is a descriptive correlation with sample data collection using the Slovin formula. A total of 67 respondents were used as samples in this study consisting of employees of the marketing division and customers of PT. Setiawan Sedjati. The existing samples were then processed using SPSS Statistic Software version 26. Based on the processed data, the results of the regression equation Y = 20.478 + 0.182x. Then the correlation coefficient value of 0.747, it can be said that these results have a strong relationship between variables. The value of the coefficient of determination is 55.8%. The calculated value of 9.068 > 2.6512 this result shows a significant increase between variables on the t-test. It can be concluded that H1 accepted and H0 rejected, namely the variable personal selling. The variable personal selling has an influence on sales.

scholarly journals First 1-M Resolution Land Cover Map Labeling the Overlap in the 3rd Dimension: The 2018 Map for Wallonia

Data ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 117
Author(s):  
Céline Bassine ◽  
Julien Radoux ◽  
Benjamin Beaumont ◽  
Taïs Grippa ◽  
Moritz Lennert ◽  
...  
Keyword(s):  
Land Cover ◽  
Land Use Planning ◽  
Climate Modeling ◽  
Decision Rules ◽  
Ancillary Data ◽  
Map Labeling ◽  
Small Water ◽  
Very High Spatial Resolution ◽  
Land Cover Map ◽  
Land Cover Maps

Land cover maps contribute to a large diversity of geospatial applications, including but not limited to land management, hydrology, land use planning, climate modeling and biodiversity monitoring. In densely populated and highly fragmented landscapes as observed in the Walloon region (Belgium), very high spatial resolution is required to depict all the infrastructures, buildings and most of the structural elements of the semi-natural landscapes (like hedges and small water bodies). Because of the resolution, the vertical dimension needs explicit handling to avoid discontinuities incompatible with many applications. For example, how to map a river flowing under a bridge? The particularity of our data is to provide a two-digit land cover code to label all the overlapping items. The identification of all the overlaps resulted from the combination of remote sensing image analysis and decision rules involving ancillary data. The final product is therefore semantically precise and accurate in terms of land cover description thanks to the addition of 24 classes on top of the 11 pure land cover classes. The quality of the map has been assessed using a state-of-the-art validation scheme. Its overall accuracy is as high as 91.5%, with an average producer’s accuracy of 86% and an average user’s accuracy of 91%.

scholarly journals The Genesis 12–19 (G1219) Study: A Twin and Sibling Study of Gene–Environment Interplay and Adolescent Development in the UK

2012 ◽  
Vol 16 (1) ◽  
pp. 134-143 ◽  
Author(s):  
Tom A. McAdams ◽  
Alice M. Gregory ◽  
Richard Rowe ◽  
Helena M. S. Zavos ◽  
Nicola L. Barclay ◽  
...  
Keyword(s):  
Data Collection ◽  
Adolescent Depression ◽  
Depression And Anxiety ◽  
Antisocial Behaviors ◽  
Sibling Pairs ◽  
Multiple Phenotypes ◽  
Gene Environment ◽  
Sample Data ◽  
The Uk

The Genesis 12–19 (G1219) Study is an ongoing longitudinal study of a sample of UK twin pairs, non-twin sibling pairs, and their parents. G1219 was initially designed to examine the role of gene–environment interplay in adolescent depression. However, since then data have continued to be collected from both parents and their offspring into young adulthood. This has allowed for longitudinal analyses of depression and has enabled researchers to investigate multiple phenotypes and to ask questions about intermediate mechanisms. The study has primarily focused on emotional development, particularly depression and anxiety, which have been assessed at multiple levels of analysis (symptoms, cognitions, and relevant environmental experiences). G1219 has also included assessment of a broader range of psychological phenotypes ranging from antisocial behaviors and substance use to sleep difficulties, in addition to multiple aspects of the environment. DNA has also been collected. The first wave of data collection began in the year 1999 and the fifth wave of data collection will be complete before the end of 2012. In this article, we describe the sample, data collection, and measures used. We also summarize some of the key findings to date.

scholarly journals MEKANISME PEMUNGUTAN PAJAK ATAS PEMINDAHAN HAK PADA JUAL BELI TANAH DAN BANGUNAN DI KABUPATEN KEPULAUAN SIAU TAGULANDANG BIARO (SITARO)

2017 ◽  
Vol 12 (01) ◽  
Author(s):  
Sela Pudihang ◽  
Jenny Morasa ◽  
Hendrik Gamaliel
Keyword(s):  
Data Collection ◽  
Central Government ◽  
Land Rights ◽  
Descriptive Data ◽  
Tax Collection ◽  
Research Results ◽  
Methods Of Analysis ◽  
Qualitative Descriptive

The BEA acquisition of Rights over the land and building tax is imposed on the acquisition of land rights and buildings. The tax was enacted by the Central Government into tax areas since January 2011. Islands Regency Siau In Indonesia this tax set forth in applicable local Islands Regency Siau In Indonesia number 5 in 2011 about tax areas. The purpose of the study to analyze the tax collection mechanism BPHTB Islands Regency Siau In Indonesia. Methods of analysis used qualitative descriptive. Data collection is done by the method of interview, observation and documentation. The research results of the tax collection mechanism BPHTB through stage charging SSPD BPHTB, stage counting BPHTB payable, the payment stage, verification has not been effective. To improve the understanding of the taxpayers of the County Financial Agency then BPHTB Siau In Indonesia more being proactive by increasing the activities of socialization, because of taxpayer compliance in reporting the Bea acquisition of Rights over the land and buildings in the Regency Siau In Indonesia is still lacking.Keywords: tax collection Mechanisms, BPHTB, buying and selling land and buildings

scholarly journals Implikasi Perizinan Sektor Berbasis Lahan Terhadap Kondisi Kawasan Hutan Di Provinsi Riau

2019 ◽  
Vol 15 (1) ◽  
pp. 95
Author(s):  
Suprapto Suprapto ◽  
San Afri Awang ◽  
Ahmad Maryudi ◽  
Wahyu Wardhana
Keyword(s):  
Land Cover ◽  
Research Method ◽  
Sustainable Forest Management ◽  
Central Government ◽  
Descriptive Analysis ◽  
Forest Area ◽  
Land Cover Changes ◽  
Forest Plantations ◽  
Qualitative Descriptive ◽  
Forestry Plantations

Forest resources can be utilized through various activities in the land-based sector, including forestry, plantations, and mining. The implications of the issuance of various permits are indicated to cause changes in the area of forest and land cover. This paper aims to analyze and explain the implications of the various land-based sector licenses that have been issued by the local government and the central government on the condition of forest areas in Riau Province. The research method was carried out with qualitative descriptive analysis, through interviews, spatial analysis, and review and tracking documents. The results of the study showed that during the period 1986-2017 there had been a change in the area of forest area and land cover. The biggest changes in forest areas occur due to the conversion of forest areas into plantations, while the largest land cover changes in successive classes are land cover for plantations (Pk), forest plantations (Ht) and mining (Pn). Some of the recommendations that we propose are the temporary dismissal of licenses in the Riau forest area, the rearrangement of all licenses related to forest areas, increasing integrity and willingness of all parties in Riau and the central government in sustainable forest management.

scholarly journals Better data, better knowledge, better society: Developing an ideal homelessness data system drawing on lessons from global practice

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Ian Thomas ◽  
Peter Mackie
Keyword(s):  
Data Collection ◽  
Central Government ◽  
Service Providers ◽  
Data Access ◽  
Evidence Base ◽  
Data System ◽  
Policy And Practice ◽  
Good Data ◽  
Ideal System ◽  
Health And Social Care

The aim of this paper is to set out the principles of an ideal data system. Good data is crucial to effective policy and practice development in all social policy spheres and this is a particular challenge in the context of homelessness policy. Policy makers, practitioners and researchers have been highly critical of the current state of homelessness data across the globe, with concerns largely focused on the incompleteness of the data. Most research has narrowly focused on the strengths and weaknesses of different data collection techniques, such as Point-In-Time counts. However, good data does not only derive from the data collection method - consideration must also be given to the wider data system, including how data are generated, reported, analysed, and crucially, how they are made accessible and to who. The evidence base for the paper is a desk-based review of 49 data collection systems from 8 countries, including systems in health and social care settings—where data are being increasingly used to drive more effective care. The different systems are synthesised to generate 8 areas of design, being: data architecture, governance, data quality, ethical and legal, privacy/security, data access, and importantly, purpose. Drawing these elements together, the paper concludes that data collection should adopt a common data standard shared across the sector, enabling inter-organisational information sharing and improving collaboration; reporting to local and central government must not be one-sided, instead data providers should receive some tangible benefit for their engagement; the focus of analysis needs to shift from statistics toward evaluation into the effectiveness of interventions; and access must be available to a range of sector actors, including service providers and academia. Importantly, the paper also concludes that in delivering the ideal system, care must be taken not to interrupt the delivery of effective homelessness interventions.

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