City map of capital. Dhaka City Map. near Dhaka, Bangladesh 14 satellite. Nearest Map» · Fullsize Share Map. KB•PDF. PDF | This paper describes the preparation of a GIS-based Interactive Map of Dhaka City (IMDC), incorporated with two new functions -one to. District: Dhaka Road Map Download JPEG version to download District map in jpeg version or Click on Download PDF version to download in PDF version.
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The Dhaka city is located on the Bariganga River. It is the largest city of the world. In 17th century, during Mughal Emperor Dhaka was the capital of Bengal. If we compare the Dhaka map of Mughal period with current map then we will understand what changes happened within years.
Dhaka is one of the world largest populus City. Road map of Dhaka city is very comprehensive.
Most of the city road was not pre-designed before the dweller setter their houses. Armenian Church Located at Armanitola, named after the Armenian colony that settled here in the late 17th century.
The church is the soul of this now almost extinct community. Dates from , it is an oasis of tranquility in the heart of the crowded city and a must visiting tourist attractions in Dhaka.
Star Mosque in Dhaka The whole walls of the mosque is decorated with mosaic stars, so is the name. It was originally built in the typical Mughal style, with for corner towers, but radically altered later. Ahsan Manzil Pink Palace in Dhaka Ahsan Manzil is one of the key tourist attractions in Dhaka someone should not miss.
Sadarghat River Port: Must visiting tourist attractions in Dhaka for photography One of the largest river port in the whole world, passing about 30, passengers daily. This is the hub of southern part of the country. Sadarghat River Port is a must visiting tourist attractions in Dhaka. More reading: Sadarghat — The chaotic and dynamic river port of Dhaka Construction started in but halted due to the Bangladeshi War of Independence, and finally completed in If you like architecture, this is one of the two must visiting tourist attractions in Dhaka for you.
Photo Credit: Daniel Whitfield An obvious potential drawback to either building a sample frame for small areas of cities or pursuing the case study approach is that the broader representativeness of results based on such narrow slices of slum society is unclear. Another approach is to adapt existing nationally representative household samples to slum analysis.
An obvious resource for such an approach are census or DHS-type samples and hence census- or DHS-type clusters, which are unfortunately generally not based on any prior attempt at assignment to slum and non-slum domains , with which one could strive to identify slum clusters or households with the information available from existing survey instruments.
Examples include innovative applications of this information to fashion household-level slum indices using principal components-related methodologies [ 14 ]. In many societies such as Bangladesh where slums are often small and compact but nonetheless frequently exhibit an irregular, sprawling layout these clusters likely straddle slum and non-slum areas.
Thus it becomes problematic to identify a cluster as a slum, even if a simple majority of households within it are identified as slum households. Moreover, from a conceptual standpoint, slum definitions based on household-level indices are somewhat limiting slum is clearly a community-level concept.
Dhaka city map
Thus, owing to the scarcity of slum sample frames at city or national levels, many empirical examinations of slum life are compelled either to confine attention to small areas of cities or to somehow adapt existing household samples not designed for stratification on slum lines. Those that have been able to rely on broad sample frames [ 4 ] are comparatively rare. Unfortunately, the level of information regarding the broad ie city- or country-wide health profiles of slum populations does not even approach that available for national populations as a whole through household surveys such as the DHS.
All of these considerations have historically applied in Bangladesh, where slums are an increasingly important focal point for policy initiatives and programs.
Motivated by such considerations, the Government of Bangladesh and the United States Agency for International Development USAID desired a study of health in urban areas of the country that included a representative sample of urban slums. As a first step to achieving this goal, we conducted the Census and Mapping of Slums CMS in the six main cities of the country.
The CMS used a number of steps to produce accurate and detailed maps of slum and non-slum areas that were combined with survey information to produce a database with information on the location, estimated population sizes, and essential characteristics of all urban slums in Bangladesh. However, the findings from the CMS are by themselves valuable and in some instances challenge common assumptions about slum characteristics.
In this manuscript we describe the procedures used for the CMS, the key findings, and some of the applications to programs operating on the ground that have occurred since its completion.
The purpose of the CMS was to produce a nationally representative sample frame for the six City Corporations of Bangladesh the major cities that serve as the seats for the six administrative divisions of the country. The design of the CMS was guided by two considerations, the first of which was to obtain primary sampling units that revolved around a behaviorally meaningful notion of urban community. The CMS was thus designed to deliver a slum sample frame characterized by slum clusters that reflected, to the greatest extent possible, coherent neighborhoods.
Second, the CMS was intended to serve as a tool that could be leveraged by planners and program officers, who could use it to aid the targeting of urban health and other human welfare-related programs to concentrated areas of poverty and poor environmental circumstances. The CMS was conducted in three phases.
Phase 1: Base Map Preparation Using Satellite Image The first step of phase 1 involved the development of baseline maps of the City Corporations to identify suspected slum settlements and provide an accurate overall organizing framework.
These maps were the most recent, highest resolution images available.
The satellite images were then geo-referenced meaning that clearly identifiable points and landmarks on the images were associated with precise GPS coordinates gathered during initial field visits. Coordinates were initially collected in WGS84 then converted to BTM Bangladesh Transverse Mercator because it became apparent that the close proximity of some slum clusters in the dense urban environment of Bangladesh caused some slum polygons to overlap.
BTM is a standard in Bangladesh. The images were then used to update the original SOB maps, which contained streets, waterways and local landmarks but were often inaccurate because they did not capture more recent development, which can be substantial in highly dynamic cities such as Dhaka. Less frequently, but surprisingly, the SOB maps occasionally failed to capture accurately even established areas. As a result, the process of updating the streets, boundaries and other features on the SOB maps by reconciling them with the satellite images produced the only fully accurate street maps of the six cities occasionally, small revisions were made to the streets or other boundaries on the maps after field teams discovered discrepancies.
The satellite images were also used to identify suspected slum settlements. This visual assessment focused on settlement density and building materials. The two key characteristics were density and roofing materials the two attributes most obvious from above. However, the specific standards varied from city to city and even within areas of some cities because of the variation in relative density patterns and typical roofing materials in slums.
Suspected slums were located and delineated on the corrected SOB maps, which then became the basis for the second phase.
The final base maps contained roads, waterways, boundaries, suspected slum settlements and, when useful, referenced local landmarks. The satellite images were not intended to identify all slum settlements accurately, but instead to provide an organizing framework for Phase 2 fieldwork for "ground truthing".
The investigators involved in earlier slum censuses such as a census and mapping of slums in the Dhaka City Corporation and Metropolitan Authority experienced an extremely chaotic, costly and prolonged first stage of fieldwork, in which field teams struggled with inaccurate maps of their operational areas and no prior sense of where potential slum concentrations might be.
The 2005 census and mapping of slums in Bangladesh: design, select results and application
The satellite images provided crucial accurate prior information regarding the street layout of the city corporations and the location of likely slum concentrations. The age of the satellite images was not an issue for generating accurate street maps: what remained for field teams, if anything, were far smaller, rarer discrepancies between their guide maps and the physical circumstances of their operational areas which were easily rectified without confusion. A fully accurate picture of the location of possible slum concentrations could not be attained with satellite or aerial photos alone, as there was no formal rule or signature that could be applied to recover exact pictures of slum conditions on the ground.
While the majority of slums did conform to the density and roof patterns of slums in their locale, a substantial minority 30 percent were missed.
Occasionally this was due to the age of the images, but more often to the fact that there was diversity to slum circumstances: for example, while there tended to be a dominant roof type in the slums of each city, a household survey in slum and non-slum areas that followed this study found a non-trivial number of exceptions to this dominant pattern.
The density and roofing material criteria most relevant to slum identification from above could also readily lead to mis-identification as markets, meat processing plants, light industrial facilities, etc.All possible combination of flood hazard maps was prepared using land-cover, geomorphology and elevation heights for flood-affected frequency and floodwater depth.
After the payment you can use the map where and how often you want. This process involved a number of detailed and redundant consistency checks. Moreover, it would have to be timely: even in areas where there is a considerable body of research, slum circumstances are constantly evolving.
The state-owned Bangladesh Railway provides suburban and national services,  and the Maitree Express international service to Kolkata.
Moreover, it would have to be timely: even in areas where there is a considerable body of research, slum circumstances are constantly evolving. In this manuscript we describe the procedures used for the CMS, the key findings, and some of the applications to programs operating on the ground that have occurred since its completion.