Do not miss the opportunity to study this Postgraduate certificate in Software Programs for Wildlife Monitoring at TECH. It's the perfect opportunity to stand out and advance your career” 

Unlike other training programs, the Postgraduate certificate in Software Programs for Wildlife Monitoring approaches wildlife management from an interdisciplinary point of view.

Wildlife management covers a wide spectrum of lines of research and action, in addition to the study of health surveillance and disease control, which is usually the general line of study in similar programs. However, in the future, veterinary professionals will have to face other lines of work in biodiversity conservation, which are also extensively developed throughout the syllabus.

Nowadays, it is difficult to find a program like this one, which provides students with specialized information in the use of the most common software in daily practice. Today there are many computer tools available that are considered necessary and that facilitate and increase the level of quality of work, which are considered necessary.  

Using GIS, it is possible to process and manage territorial data to represent results or interpret information on a large scale. In this way, it is, therefore, possible to plan in advance the lengths of a transect, plan territorial sampling points, analyze species richness and densities, combine environmental variables or model the most appropriate areas to geographically identify locations where a species can be found or reintroduced.

Species biology is not only based on theoretical knowledge, but also on spatial and geolocalized data. The only way to understand and visualize how species are distributed is by using Geographic Information Systems to represent and model the data.  

This complete training program is designed by professors with the highest recognized degree of specialization, thus guaranteeing its quality in all aspects in wildlife, both clinical and scientific. A unique opportunity to specialize in an area where professional positions are in high demand, from the hands of outstanding professionals. 

Study with TECH and learn the concepts associated with wildlife populations and the processes and interactions that take place” 

This Postgraduate certificate in Software Programs for Wildlife Monitoring contains the most complete and up-to-date educational program on the market. The most important features include:

• Case studies presented by experts in Wildlife 
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional development
• New developments in Wildlife Management
• Practical exercises where the self-assessment process can be carried out to improve learning
• Special emphasis on innovative methodologies in Wildlife Management 
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

This Postgraduate certificate is the best investment you can make when selecting a refresher program in Software Programs for Wildlife Monitoring” 

It includes, in its Teaching staff, Professionals belonging to the veterinary field, who pour into this training the experience of their work, in addition to recognized Specialists from Reference Societies and Prestigious Universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive specialization programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the specialist must try to solve the different professional practice situations that arise throughout the program. For this, the professional will have the help of an innovative, interactive video system made by recognized and experienced experts in Wildlife.  

This program comes with the best educational material, providing you with a contextual approach that will facilitate your learning"

This 100% online Postgraduate certificate will allow you to combine your studies with your professional work while increasing your knowledge in this field"

The content has been structured and designed by the best Professionals in Software Programs for Wildlife Monitoring, who have extensive experience and recognized prestige in the profession, backed by the volume of cases reviewed, studied, and diagnosed, and who have extensive knowledge of new technologies applied to veterinary medicine.

We have the most complete and up-to-date academic program in the market. We strive for excellence and for you to achieve it too"  

Module 1. Spatial Management of Species using Geographic Information Systems in QGIS 

1.1. Introduction to Geographic Information Systems (GIS) 

1.1.1.Introduction to Geographic Information Systems
1.1.2. Mapping File Formats for Species Analysis
1.1.3. Main Geoprocessing Analyses for Species Management 

1.2. Reference Systems in Map Files 

1.2.1. The Importance of Reference Systems in the Visualization and Accuracy of Field Data Linked to Species Distribution
1.2.2. Examples of Correct and Incorrect Data Management in Species Domains

1.3. QGIS Interface 

1.3.1. Introduction to QGIS
1.3.2. Interface and Sections to be Analyzed and Data Display

1.4. Data Visualization and Display on QGIS

1.4.1. Visualizing Mapping Data on QGIS 
1.4.2. Attribute Tables for Querying and Documenting Information
1.4.3. Symbolism for Sample Representation

1.5. QGIS Plug-ins for Species Mapping and Analysis

1.5.1. QGIS Plug-ins 
1.5.2. GBIF Plug-in
1.5.3. Natusfera Plug-in
1.5.4. Species Explorer Plug-in
1.5.5. Citizen Science Platforms and Other Analysis Plug-ins

1.6. Cartographic Management of Sample Plots and Field Monitoring

1.6.1. Geometric Planning of Sampling Plots and Grids
1.6.2. Representation of Distribution Data, Sampling Data and Transects in the Field

1.7. Species Richness and Effort Maps

1.7.1. Analysis of Species Richness Data
1.7.2. Representation of Richness Maps
1.7.3. Analysis of Effort Data
1.7.4. Representation of Effort Maps

1.8. Practical Example: Multi-Criteria Analysis for Species Suitability Maps

1.8.1. Introduction to the Use of Land Suitability Maps
1.8.2. Analysis of Environmental Variables Linked to the Species
1.8.3. Analysis of Suitability Values for the Variables
1.8.4. Elaboration of Land Suitability Maps for Species

1.9. Creation of Ecological Corridors for Species Distribution

1.9.1. Introduction to Spatial Connectivity Strategies to Create Ecological Corridors 
1.9.2. Resistance and Friction Maps vs. Suitability Maps
1.9.3. Identification of Connectivity Points
1.9.4. Development of Ecological Corridors for Species Distribution

1.10. Considerations for Field Data Collection 

1.10.1. Available Technologies 
1.10.2. Device Configuration prior to Data Collection
1.10.3. Technical Considerations in Data Documentation
1.10.4. Considerations according to the Scale of Work

Module 2. Wildlife Management Software: Statistica and Distance 

2.1.Statistica: Descriptive Statistics

2.1.1. Introduction
2.1.2. Statisticians

2.1.2.1. Sample Size
2.1.2.2. Media 
2.1.2.3. Fashion 
2.1.2.4. Standard Deviation 
2.1.2.5. Coefficient of Variation 
2.1.2.6. Variance 

2.1.3. Use in Statistica 

2.2. Statistica: Probability and Statistical Significance 

2.2.1. Probability 
2.2.2. Statistical Significance 
2.2.3. Distributions 

2.2.3.1. Transformations 

2.3. Statistica: Statistical Tests

2.3.1. A Sample 

2.3.1.1. Chi-Squared 
2.3.1.2. Binomial 
2.3.1.3. Runs 

2.3.2. Two Related Samples 

2.3.2.1. Test 
2.3.2.2. Signs 
2.3.2.3. McNemar 

2.3.3. Two Independent Samples 

2.3.3.1. Mann-Whitney U Test 
2.3.3.2. Kolmoronov-Smirnov Test 
2.3.3.3. Moses Extreme Reactions Test 
2.3.3.4. Wald-Wolfowitz Runs Test 

2.3.4. Various Independent Samples 

2.3.4.1. Kruskal-Wallis H Test  
2.3.4.2. Median 

2.3.5. Various Related Samples 

2.3.5.1. Friedman 
2.3.5.2. Kendall W Test 
2.3.5.3. Cochran Q Test 

2.4. Statistics: Regressions  

2.4.1. Linear Regression 
2.4.2. Assumptions 

2.4.2.1. Waste Analysis 
2.4.2.2. Absence of Collinearity 
2.4.2.3. Choosing the Number of Variables 

2.5. Statistics: Analysis of Variance (ANOVA)

2.5.1. Requirements
2.5.2. Post-Hoc Test
2.5.3. Models

2.5.3.1. Fixed Effects
2.5.3.2. Random Effects
2.5.3.3. Mixed

2.5.4. Fitted ANOVA
2.5.5. Covariance Analysis
2.5.6. ANOVA from Repeated Measures

2.6. Statistica: Data Import

2.6.1. Data Import
2.6.2. Data Entry

2.7.Statistics: Definition of Variables

2.7.1. Qualitative

2.7.1.1. Attributes
2.7.1.2. Ordinal

2.7.2. Quantitative

2.7.2.1. Discrete
2.7.2.2. Continuous

2.7.3. Use in Statistica

2.8. Distance: Introduction

2.8.1. Types of Transects

2.8.1.1. Line Transect
2.8.1.2. Point Transect

2.8.2. Calculating Distances

2.8.2.1. Radially
2.8.2.2. Perpendicularly

2.8.3. Objects 

2.8.3.1. Individual 
2.8.3.2. Clusters 

2.8.4. Detection Function 

2.8.4.1. Selection Criteria 
2.8.4.2. Key Functions 

2.8.4.2.1. Uniform 
2.8.4.2.2. Seminormal 
2.8.4.2.3. Negative Exponential 
2.8.4.2.4. Risk Rate 

2.9. Distance: Approximation  

2.9.1.AIC 

2.9.1.1. Limitations 

2.9.2. Data Analysis 
2.9.3. Stratification 

2.10. Distance: Example  

2.10.1.Data Entry 
2.10.2.Analysis Settings 
2.10.3.Truncation 
2.10.4.Data Grouping 
2.10.5.Stratification 
2.10.6.Validating Results

This training will allow you to advance in your career in a comfortable way"