An introduction to R programming

R language is the GNU arm of S language, which has taken the computational world by storm in the last decade. Starting as a compendium of statistical tools, this language has grown up into a canopy lording over a research analysis environment thereby subsuming many hitherto complicated manoeuvres onto the realms of syntactical simplicity. As this an exponentially expanding field of development with ever exploding information downpour, it would be a near impossible task to frame it onto a short simple foundational discourse. However in the subsequent sections we would try to view the potential and the extent of practicality we would unravel the hidden features of the software through a GUI envelop also apart from the regular console and syntax based one. To get its power more understandable we would visualize its forays into the field of analytics using medium scale examples from marine fisheries data

Bibliography (Part - 4) The publications by the staff of Central Marine Fisheries Research Institute 1996-2006 (A Diamond Jubilee Publication)

Central Marine Fisheries Research Institute (CMFRI) has been documenting bibliographies on various topics. The Institute has published over a dozen such bibliographies on various finfishes and shellfishes. Three bibliographies were published during 1986, 1992, 1998 listing the publications of the staff of CMFRI from 1948 to 1995. Since then, tremendous data was generated from both inhouse and sponsored projects, leading to a good number of research publications in national and international journals. A sincere effort has been made in the present endeavour incorporating all the publications of the staff from 1996-2006. A total of 2039 titles have been listed in the Bibliography Part IV including 25 titles pertaining to period prior to 1995 which could not find a place in the earlier bibliography

Introduction to R Programming In: ICAR Sponsored Winter School on Recent Advances in Fishery Biology Techniques for Biodiversity Evaluation and Conservation, 1-21 December 2018, Kochi.

R language is the GNU arm of S language, which has taken the computational world by storm in the last decade. Starting as a compendium of statistical tools, this language has grown up into a canopy lording over a research analysis environment thereby subsuming many hitherto complicated manoeuvres onto the realms of syntactical simplicity. As this an exponentially expanding field of development with ever exploding information downpour, it would be a near impossible task to frame it onto a short simple foundational discourse. However in the subsequent sections we would try to view the potential and the extent of practicality we would unravel the hidden features of the software through a GUI envelop also apart from the regular console and syntax based one. To get its power more understandable we would visualize its forays into the field of analytics using medium scale examples from marine fisheries data

Marine fish landings in Andhra Pradesh during 2016 - An overview

Andhra Pradesh with a coastline of 974 km, and nine coastal districts has 1.63 lakh marine fishermen families residing in the 555 marine fishing villages (Marine Fisheries Census 2010) who depend on fishing either directly or through allied activities for their livelihood. The state is cyclone prone and during the past decade, cyclones have severely affected the state’s fisheries sector. The marine fish landings was 1.92 lakh tonnes (t) in the year 2016, which was 35% less than that of the previous year. The drastic reduction in the landings of the state may be attributed to reduction in fishing operations during the months of September, October and November due to cyclone warnings. Among the coastal districts, East Godavari contributed the highest (33%) to total marine fish landings of the state, followed by Visakhapatnam (22%) and Srikakulam (11%). In spite of decline in the catch contributions from a few landing centres like Bhairavpalem

Marine Geographic Information Systems and Their Application in Fisheries Management

GIS in marine fisheries has taken off much later than its application in land. But the strides made in this field since 1990's has been quite significant, as many serious mapping studies and modeling initiatives have been recorded. With the third dimension added to the 2D spatial data, the marine GIS have all the ingredients of making it a fertile domain for research for decades to come. Most of the studies and products pertaining to GIS in fishery management had been revolving around mapping of habitats, geo-referencing of catch and effort data and modeling linking oceanographic and biogeochemical factors with living resources. Satellite remotely sensed information like ocean colour can act as a surrogate to fish biomass. Further remotely sensed SST, wind and other parameters can be effectively modeled to predict fish abundance, their habitat and related aspects. This manuscript pours into the various products and outputs based on GIS in marine fisheries around the world and the Indian initiatives

Enhancing the quality and utility of India’s Marine Fish Landing Data Collection and Processing System using spatial information

The ICAR-Central Marine Fisheries Research Institute is mandated with the monitoring and assessment of marine fishery resources of India. The methodologies adopted for the collection and processing of fish landings data have undergone due changes in tune with developments in the relevant scientific fields. This paper discusses how the addition of spatial domain information explicitly to the present fish landings data collection process would be beneficial in analysing, visualizing and extracting additional information from the fish landings datasets

Status of India's Exploited Marine Fishery Resources in 2013

The Central Marine Fisheries Research Institute start collected and estimation of marine fish landings for the peninsular coast of India since its inception in 1947, based on a stratified multistage random sampling technique. This which continues to date, and provides knowledge-base for many research, planning and policy initiatives in the marine fisheries sector

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Not AvailableCentral Marine Fisheries Research Institute (CMFRI) has been documenting bibliographies on various topics. The Institute has published over a dozen such bibliographies on various finfishes and shellfishes. Three bibliographies were published during 1986, 1992, 1998 listing the publications of the staff of CMFRI from 1948 to 1995. Since then, tremendous data was generated from both inhouse and sponsored projects, leading to a good number of research publications in national and international journals. A sincere effort has been made in the present endeavour incorporating all the publications of the staff from 1996-2006. A total of 2039 titles have been listed in the Bibliography Part IV including 25 titles pertaining to period prior to 1995 which could not find a place in the earlier bibliography.Not Availabl

Not Available

Not AvailableAndhra Pradesh with a coastline of 974 km, and nine coastal districts has 1.63 lakh marine fishermen families residing in the 555 marine fishing villages (Marine Fisheries Census 2010) who depend on fishing either directly or through allied activities for their livelihood. The state is cyclone prone and during the past decade, cyclones have severely affected the state’s fisheries sector. The marine fish landings was 1.92 lakh tonnes (t) in the year 2016, which was 35% less than that of the previous year. The drastic reduction in the landings of the state may be attributed to reduction in fishing operations during the months of September, October and November due to cyclone warnings. Among the coastal districts, East Godavari contributed the highest (33%) to total marine fish landings of the state, followed by Visakhapatnam (22%) and Srikakulam (11%). In spite of decline in the catch contributions from a few landing centres like Bhairavpalem,Not Availabl

Reconnoitring Annual Landings and Biochemical Profiling of Deep-Sea Driftfishes (Cubiceps: Nomeidae): A Promising Food Source

The deep-sea ecosystem is the largest habitat on the earth’s surface and is a major reservoir of global biodiversity. ▪ The deep-sea fishery is majorly focuses on edible and commercially important deep-sea shrimp resources. ▪ Only a few of the deep-sea fin fishes are presently commercially important and are mostly used for producing fish meal and manure. The rising demand and declining conventional fishery practices have brought deep-sea finfish into focus as a promising new protein source. Cubiceps whiteleggii (Waite, 1894) and Cubiceps baxteri McCulloch, 1923 included under the family Nomidae (Driftfishes) is gaining recent importance in the commercial markets